狠狠撸shows by User: KoKo164

狠狠撸shows by User: KoKo164 / http://www.slideshare.net/images/logo.gif 狠狠撸shows by User: KoKo164 / Fri, 18 Oct 2024 07:03:37 GMT 狠狠撸Share feed for 狠狠撸shows by User: KoKo164 應用 LLM 框架：LangChain 入門工作坊，LangChain Workshop /slideshow/llm-langchain-langchain-workshop/272520429 20241017langchainworkshop-241018070337-3586195a
這是 2024/10/17，在資料科學家社群所舉辦的「超硬派！數據實戰技術工作坊 #18」，我在這場活動裡帶大家快速入門 LangChain 做應用的核心，包含了 RAG 和 Agent。]]>
這是 2024/10/17，在資料科學家社群所舉辦的「超硬派！數據實戰技術工作坊 #18」，我在這場活動裡帶大家快速入門 LangChain 做應用的核心，包含了 RAG 和 Agent。]]> Fri, 18 Oct 2024 07:03:37 GMT /slideshow/llm-langchain-langchain-workshop/272520429 KoKo164@slideshare.net(KoKo164) 應用 LLM 框架：LangChain 入門工作坊，LangChain Workshop KoKo164 這是 2024/10/17，在資料科學家社群所舉辦的「超硬派！數據實戰技術工作坊 #18」，我在這場活動裡帶大家快速入門 LangChain 做應用的核心，包含了 RAG 和 Agent。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20241017langchainworkshop-241018070337-3586195a-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2024/10/17，在資料科學家社群所舉辦的「超硬派！數據實戰技術工作坊 #18」，我在這場活動裡帶大家快速入門 LangChain 做應用的核心，包含了 RAG 和 Agent。

應用 LLM 框架：LangChain 入門工作坊，LangChain Workshop from Ko Ko

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0 20240912 Hello World Dev Conference 工作坊「使用 LangServe 快速部署 AI」 /slideshow/20240912-hello-world-dev-conference-langserve-ai/271757618 20240912hellodevlangserve-240912133838-34e2a201
這是在 20240912 ，在 Hello World Dev 年會的工作坊所講授用的投影片。本次工作坊帶大家實戰了 LangChain 與 LangServe，並且使用 Azure OpenAI 做為 chat model 。最後還教大家如何容器化部署，把 LangServe 在本地端部署起來。這場演講中，我還特別提供了一組共用的 Azure OpenAI 的 KEY，讓學員在操作上更有感覺。]]>
這是在 20240912 ，在 Hello World Dev 年會的工作坊所講授用的投影片。本次工作坊帶大家實戰了 LangChain 與 LangServe，並且使用 Azure OpenAI 做為 chat model 。最後還教大家如何容器化部署，把 LangServe 在本地端部署起來。這場演講中，我還特別提供了一組共用的 Azure OpenAI 的 KEY，讓學員在操作上更有感覺。]]> Thu, 12 Sep 2024 13:38:38 GMT /slideshow/20240912-hello-world-dev-conference-langserve-ai/271757618 KoKo164@slideshare.net(KoKo164) 20240912 Hello World Dev Conference 工作坊「使用 LangServe 快速部署 AI」 KoKo164 這是在 20240912 ，在 Hello World Dev 年會的工作坊所講授用的投影片。本次工作坊帶大家實戰了 LangChain 與 LangServe，並且使用 Azure OpenAI 做為 chat model 。最後還教大家如何容器化部署，把 LangServe 在本地端部署起來。這場演講中，我還特別提供了一組共用的 Azure OpenAI 的 KEY，讓學員在操作上更有感覺。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20240912hellodevlangserve-240912133838-34e2a201-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是在 20240912 ，在 Hello World Dev 年會的工作坊所講授用的投影片。本次工作坊帶大家實戰了 LangChain 與 LangServe，並且使用 Azure OpenAI 做為 chat model 。最後還教大家如何容器化部署，把 LangServe 在本地端部署起來。這場演講中，我還特別提供了一組共用的 Azure OpenAI 的 KEY，讓學員在操作上更有感覺。

20240912 Hello World Dev Conference 工作坊「使用 LangServe 快速部署 AI」 from Ko Ko

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0 DevDays Asia 2024 Demo LangChain 與 Azure /slideshow/devdays-asia-2024-demo-langchain-azure/271013574 2024-8-14trackakoko-240814151442-f37126a4
這是我在 DevDays Asia 2024 Demo LangChain 與 Azure 的投影片，題目是「用 Azure 快速開發與部署 LangChain 應用」。在本次的議程中，我 Demo 了如何快速用 LangChain 打造 RAG，並且利用 Azure 的優勢快速部署 LangChain app。]]>
這是我在 DevDays Asia 2024 Demo LangChain 與 Azure 的投影片，題目是「用 Azure 快速開發與部署 LangChain 應用」。在本次的議程中，我 Demo 了如何快速用 LangChain 打造 RAG，並且利用 Azure 的優勢快速部署 LangChain app。]]> Wed, 14 Aug 2024 15:14:42 GMT /slideshow/devdays-asia-2024-demo-langchain-azure/271013574 KoKo164@slideshare.net(KoKo164) DevDays Asia 2024 Demo LangChain 與 Azure KoKo164 這是我在 DevDays Asia 2024 Demo LangChain 與 Azure 的投影片，題目是「用 Azure 快速開發與部署 LangChain 應用」。在本次的議程中，我 Demo 了如何快速用 LangChain 打造 RAG，並且利用 Azure 的優勢快速部署 LangChain app。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2024-8-14trackakoko-240814151442-f37126a4-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是我在 DevDays Asia 2024 Demo LangChain 與 Azure 的投影片，題目是「用 Azure 快速開發與部署 LangChain 應用」。在本次的議程中，我 Demo 了如何快速用 LangChain 打造 RAG，並且利用 Azure 的優勢快速部署 LangChain app。

DevDays Asia 2024 Demo LangChain 與 Azure from Ko Ko

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0 LangServe source code explain in 2024 COSCUP /slideshow/langserve-source-code-explain-in-2024-coscup/270739542 20240804langservecoscup-240804021521-e278258d
This speech is in 2024 COSCUP. In this session, I discussed how it powerful is LangServe, and I explained the source code. ]]>
This speech is in 2024 COSCUP. In this session, I discussed how it powerful is LangServe, and I explained the source code. ]]> Sun, 04 Aug 2024 02:15:21 GMT /slideshow/langserve-source-code-explain-in-2024-coscup/270739542 KoKo164@slideshare.net(KoKo164) LangServe source code explain in 2024 COSCUP KoKo164 This speech is in 2024 COSCUP. In this session, I discussed how it powerful is LangServe, and I explained the source code. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20240804langservecoscup-240804021521-e278258d-thumbnail.jpg?width=120&height=120&fit=bounds" /> This speech is in 2024 COSCUP. In this session, I discussed how it powerful is LangServe, and I explained the source code.

LangServe source code explain in 2024 COSCUP from Ko Ko

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0 The theory of vector database and qdrant /slideshow/the-theory-of-vector-database-and-qdrant/270407514 20240722vectordbandqdrant-240722124038-31fd6820
This is shared in R-Ladies in Taiwan at 2024/07/22. I discussed the theory of embedding and vector database. And I shared the advantage of Qdrant as vector database]]>
This is shared in R-Ladies in Taiwan at 2024/07/22. I discussed the theory of embedding and vector database. And I shared the advantage of Qdrant as vector database]]> Mon, 22 Jul 2024 12:40:38 GMT /slideshow/the-theory-of-vector-database-and-qdrant/270407514 KoKo164@slideshare.net(KoKo164) The theory of vector database and qdrant KoKo164 This is shared in R-Ladies in Taiwan at 2024/07/22. I discussed the theory of embedding and vector database. And I shared the advantage of Qdrant as vector database <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20240722vectordbandqdrant-240722124038-31fd6820-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is shared in R-Ladies in Taiwan at 2024/07/22. I discussed the theory of embedding and vector database. And I shared the advantage of Qdrant as vector database

The theory of vector database and qdrant from Ko Ko

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0 Langchain and Azure ML and Open AI /slideshow/langchain-and-azure-ml-and-open-ai/264521990 20231210langchainandazureml-231211043755-ed313395
This conference was .NET CONF Taiwan in 2022/12/10. LangChain is one of the most mainstream frameworks for developing large language model applications. Its ease of use and simplicity enable developers to quickly build product prototypes. Azure Machine Learning is currently one of the most mainstream tools for AI research and application development. It offers comprehensive features and is well integrated with the Python and AI ecosystem. This talk will introduce the basic concepts of LangChain, including key components such as Model, Chain, and Retriever, and will use the capabilities of Azure Machine Learning as examples. Additionally, it will discuss how to integrate LangChain into Azure Machine Learning and Azure Open AI, allowing developers to leverage the advantages of Azure Machine Learning to rapidly develop large language model applications.]]>
This conference was .NET CONF Taiwan in 2022/12/10. LangChain is one of the most mainstream frameworks for developing large language model applications. Its ease of use and simplicity enable developers to quickly build product prototypes. Azure Machine Learning is currently one of the most mainstream tools for AI research and application development. It offers comprehensive features and is well integrated with the Python and AI ecosystem. This talk will introduce the basic concepts of LangChain, including key components such as Model, Chain, and Retriever, and will use the capabilities of Azure Machine Learning as examples. Additionally, it will discuss how to integrate LangChain into Azure Machine Learning and Azure Open AI, allowing developers to leverage the advantages of Azure Machine Learning to rapidly develop large language model applications.]]> Mon, 11 Dec 2023 04:37:55 GMT /slideshow/langchain-and-azure-ml-and-open-ai/264521990 KoKo164@slideshare.net(KoKo164) Langchain and Azure ML and Open AI KoKo164 This conference was .NET CONF Taiwan in 2022/12/10. LangChain is one of the most mainstream frameworks for developing large language model applications. Its ease of use and simplicity enable developers to quickly build product prototypes. Azure Machine Learning is currently one of the most mainstream tools for AI research and application development. It offers comprehensive features and is well integrated with the Python and AI ecosystem. This talk will introduce the basic concepts of LangChain, including key components such as Model, Chain, and Retriever, and will use the capabilities of Azure Machine Learning as examples. Additionally, it will discuss how to integrate LangChain into Azure Machine Learning and Azure Open AI, allowing developers to leverage the advantages of Azure Machine Learning to rapidly develop large language model applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20231210langchainandazureml-231211043755-ed313395-thumbnail.jpg?width=120&height=120&fit=bounds" /> This conference was .NET CONF Taiwan in 2022/12/10. LangChain is one of the most mainstream frameworks for developing large language model applications. Its ease of use and simplicity enable developers to quickly build product prototypes. Azure Machine Learning is currently one of the most mainstream tools for AI research and application development. It offers comprehensive features and is well integrated with the Python and AI ecosystem. This talk will introduce the basic concepts of LangChain, including key components such as Model, Chain, and Retriever, and will use the capabilities of Azure Machine Learning as examples. Additionally, it will discuss how to integrate LangChain into Azure Machine Learning and Azure Open AI, allowing developers to leverage the advantages of Azure Machine Learning to rapidly develop large language model applications.

Langchain and Azure ML and Open AI from Ko Ko

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0 20230830 淺談 Azure OpenAI.pdf /KoKo164/20230830-azure-openaipdf 20230830azureopenai-230905011953-b169f055
這是 20230830 在 Generative AI 小聚所分享的內容。用 Azure Open AI 開發了一個小熊故事機，並且提供了 Azure Open AI 的基本入門教學，也包含了 Azure Speech 的內容]]>
這是 20230830 在 Generative AI 小聚所分享的內容。用 Azure Open AI 開發了一個小熊故事機，並且提供了 Azure Open AI 的基本入門教學，也包含了 Azure Speech 的內容]]> Tue, 05 Sep 2023 01:19:53 GMT /KoKo164/20230830-azure-openaipdf KoKo164@slideshare.net(KoKo164) 20230830 淺談 Azure OpenAI.pdf KoKo164 這是 20230830 在 Generative AI 小聚所分享的內容。用 Azure Open AI 開發了一個小熊故事機，並且提供了 Azure Open AI 的基本入門教學，也包含了 Azure Speech 的內容 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20230830azureopenai-230905011953-b169f055-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 20230830 在 Generative AI 小聚所分享的內容。用 Azure Open AI 開發了一個小熊故事機，並且提供了 Azure Open AI 的基本入門教學，也包含了 Azure Speech 的內容

20230830 淺談 Azure OpenAI.pdf from Ko Ko

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0 Learn Django With ChatGPT /slideshow/learn-django-with-chatgpt/260005968 202300819learndjangowithchatgpt-230819161428-87b8ec89
這是 2023/08/19 在 Taichung.py 社群所分享的內容。包含了用 ChatGPT 學習一門新技術的技巧，也包含了 plugin 的使用方式，並使用 Django 做為 demo。並在投影片裡面分享了許多不錯的 Django 學習資源。]]>
這是 2023/08/19 在 Taichung.py 社群所分享的內容。包含了用 ChatGPT 學習一門新技術的技巧，也包含了 plugin 的使用方式，並使用 Django 做為 demo。並在投影片裡面分享了許多不錯的 Django 學習資源。]]> Sat, 19 Aug 2023 16:14:28 GMT /slideshow/learn-django-with-chatgpt/260005968 KoKo164@slideshare.net(KoKo164) Learn Django With ChatGPT KoKo164 這是 2023/08/19 在 Taichung.py 社群所分享的內容。包含了用 ChatGPT 學習一門新技術的技巧，也包含了 plugin 的使用方式，並使用 Django 做為 demo。並在投影片裡面分享了許多不錯的 Django 學習資源。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/202300819learndjangowithchatgpt-230819161428-87b8ec89-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2023/08/19 在 Taichung.py 社群所分享的內容。包含了用 ChatGPT 學習一門新技術的技巧，也包含了 plugin 的使用方式，並使用 Django 做為 demo。並在投影片裡面分享了許多不錯的 Django 學習資源。

Learn Django With ChatGPT from Ko Ko

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0 Introduction Hugging face.pdf /slideshow/introduction-hugging-facepdf/259536165 20230731rladyhuggingface-230731231959-557b2dbc
This presentation took place at R ladies Taipei on July 31, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Hugging Face. It will guide you through using the natural language processing models from Hugging Face.]]>
This presentation took place at R ladies Taipei on July 31, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Hugging Face. It will guide you through using the natural language processing models from Hugging Face.]]> Mon, 31 Jul 2023 23:19:59 GMT /slideshow/introduction-hugging-facepdf/259536165 KoKo164@slideshare.net(KoKo164) Introduction Hugging face.pdf KoKo164 This presentation took place at R ladies Taipei on July 31, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Hugging Face. It will guide you through using the natural language processing models from Hugging Face. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20230731rladyhuggingface-230731231959-557b2dbc-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation took place at R ladies Taipei on July 31, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Hugging Face. It will guide you through using the natural language processing models from Hugging Face.

Introduction Hugging face.pdf from Ko Ko

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0 Building Chatbot With Huggging Face /slideshow/building-chatbot-with-huggging-face/259508040 20230729coscuphuggingface-230730020113-82c4a8de
This presentation took place at COSCUP on July 30, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Chatbot development. It will guide you through using the natural language processing models from Hugging Face and demonstrate step by step how to integrate them into LINE to create a chatbot.]]>
This presentation took place at COSCUP on July 30, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Chatbot development. It will guide you through using the natural language processing models from Hugging Face and demonstrate step by step how to integrate them into LINE to create a chatbot.]]> Sun, 30 Jul 2023 02:01:13 GMT /slideshow/building-chatbot-with-huggging-face/259508040 KoKo164@slideshare.net(KoKo164) Building Chatbot With Huggging Face KoKo164 This presentation took place at COSCUP on July 30, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Chatbot development. It will guide you through using the natural language processing models from Hugging Face and demonstrate step by step how to integrate them into LINE to create a chatbot. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20230729coscuphuggingface-230730020113-82c4a8de-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation took place at COSCUP on July 30, 2023. Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important. This talk is designed for beginners in Chatbot development. It will guide you through using the natural language processing models from Hugging Face and demonstrate step by step how to integrate them into LINE to create a chatbot.

Building Chatbot With Huggging Face from Ko Ko

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0 Triton As NLP Model Inference Back-end /KoKo164/triton-as-nlp-model-inference-backend tritonasnlpmodelinferenceback-end-221014133801-338dff26
This slide was used in the largest open source conference in East Asia, COSCUP. I introduced a basic usage about Triton server at 2022/07/30. ]]>
This slide was used in the largest open source conference in East Asia, COSCUP. I introduced a basic usage about Triton server at 2022/07/30. ]]> Fri, 14 Oct 2022 13:38:01 GMT /KoKo164/triton-as-nlp-model-inference-backend KoKo164@slideshare.net(KoKo164) Triton As NLP Model Inference Back-end KoKo164 This slide was used in the largest open source conference in East Asia, COSCUP. I introduced a basic usage about Triton server at 2022/07/30. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tritonasnlpmodelinferenceback-end-221014133801-338dff26-thumbnail.jpg?width=120&height=120&fit=bounds" /> This slide was used in the largest open source conference in East Asia, COSCUP. I introduced a basic usage about Triton server at 2022/07/30.

Triton As NLP Model Inference Back-end from Ko Ko

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0 Run Bokeh in back-end, draw real-time charts to front-end, and make data scientists happy (2022 PyCon APAC) /slideshow/run-bokeh-in-backend-draw-realtime-charts-to-frontend-and-make-data-scientists-happy-2022-pycon-apac/252713861 20220903pyconapac-220826151257-004b81de
狠狠撸 in 2022 PyCon APAC Data scientists are always asked to provide charts of data. Drawing a chart is very easy by Matplotlib or Seaborn, and we can get a chart image file. However, sometimes data scientists' boss may ask for charts which are interactable. In this situation, data scientists can use Bokeh to draw charts. Bokeh will generate HTML/JS files with charts, so that you can get an interactive chart in website. But what if data scientists' boss asked a real-time charts that can draw charts dynamically according to the change of data? In this case, we can run Bokeh in back-end and send dynamic charts to front-end. In this presentation, I will share my experience of setup Bokeh in back-end and getting a real-time chart in front-end, so that data scientists can work with web developer easily and happily.]]>
狠狠撸 in 2022 PyCon APAC Data scientists are always asked to provide charts of data. Drawing a chart is very easy by Matplotlib or Seaborn, and we can get a chart image file. However, sometimes data scientists' boss may ask for charts which are interactable. In this situation, data scientists can use Bokeh to draw charts. Bokeh will generate HTML/JS files with charts, so that you can get an interactive chart in website. But what if data scientists' boss asked a real-time charts that can draw charts dynamically according to the change of data? In this case, we can run Bokeh in back-end and send dynamic charts to front-end. In this presentation, I will share my experience of setup Bokeh in back-end and getting a real-time chart in front-end, so that data scientists can work with web developer easily and happily.]]> Fri, 26 Aug 2022 15:12:57 GMT /slideshow/run-bokeh-in-backend-draw-realtime-charts-to-frontend-and-make-data-scientists-happy-2022-pycon-apac/252713861 KoKo164@slideshare.net(KoKo164) Run Bokeh in back-end, draw real-time charts to front-end, and make data scientists happy (2022 PyCon APAC) KoKo164 狠狠撸 in 2022 PyCon APAC Data scientists are always asked to provide charts of data. Drawing a chart is very easy by Matplotlib or Seaborn, and we can get a chart image file. However, sometimes data scientists' boss may ask for charts which are interactable. In this situation, data scientists can use Bokeh to draw charts. Bokeh will generate HTML/JS files with charts, so that you can get an interactive chart in website. But what if data scientists' boss asked a real-time charts that can draw charts dynamically according to the change of data? In this case, we can run Bokeh in back-end and send dynamic charts to front-end. In this presentation, I will share my experience of setup Bokeh in back-end and getting a real-time chart in front-end, so that data scientists can work with web developer easily and happily. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20220903pyconapac-220826151257-004b81de-thumbnail.jpg?width=120&height=120&fit=bounds" /> 狠狠撸 in 2022 PyCon APAC Data scientists are always asked to provide charts of data. Drawing a chart is very easy by Matplotlib or Seaborn, and we can get a chart image file. However, sometimes data scientists' boss may ask for charts which are interactable. In this situation, data scientists can use Bokeh to draw charts. Bokeh will generate HTML/JS files with charts, so that you can get an interactive chart in website. But what if data scientists' boss asked a real-time charts that can draw charts dynamically according to the change of data? In this case, we can run Bokeh in back-end and send dynamic charts to front-end. In this presentation, I will share my experience of setup Bokeh in back-end and getting a real-time chart in front-end, so that data scientists can work with web developer easily and happily.

Run Bokeh in back-end, draw real-time charts to front-end, and make data scientists happy (2022 PyCon APAC) from Ko Ko

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0 入門 Teams Bot /slideshow/teams-bot/251856442 20220525teamsbot-220525233224-201d4610
這是 2022/05/26 在 Chatbot Developers Taiwan 分享的內容。本次分享講了 Teams 許多基本的觀念和操作，也做了很多的 Live Demo 告訴大家要怎麼來串訊息。最後面用 Bot Framework Composer 做了一個 Teams Bot。]]>
這是 2022/05/26 在 Chatbot Developers Taiwan 分享的內容。本次分享講了 Teams 許多基本的觀念和操作，也做了很多的 Live Demo 告訴大家要怎麼來串訊息。最後面用 Bot Framework Composer 做了一個 Teams Bot。]]> Wed, 25 May 2022 23:32:24 GMT /slideshow/teams-bot/251856442 KoKo164@slideshare.net(KoKo164) 入門 Teams Bot KoKo164 這是 2022/05/26 在 Chatbot Developers Taiwan 分享的內容。本次分享講了 Teams 許多基本的觀念和操作，也做了很多的 Live Demo 告訴大家要怎麼來串訊息。最後面用 Bot Framework Composer 做了一個 Teams Bot。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20220525teamsbot-220525233224-201d4610-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2022/05/26 在 Chatbot Developers Taiwan 分享的內容。本次分享講了 Teams 許多基本的觀念和操作，也做了很多的 Live Demo 告訴大家要怎麼來串訊息。最後面用 Bot Framework Composer 做了一個 Teams Bot。

入門 Teams Bot from Ko Ko

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0 Introduction to MLOps in Azure Machine Learning with Live Demo /slideshow/introduction-to-mlops-in-azure-machine-learning-with-live-demo/250911836 2021mlops-211228142305
這是 2021/12/18 在 .NET Conf Taiwan 所分享的內容。這幾年 MLOps 愈來愈火紅，已經成為企業 AI 落地的最後一哩路，許多企業的 AI 專案無法上到生產環境，往往是卡在 MLOps 的不足。本次演講會簡介 MLOps 的一些基本概論，並且介紹 Azure Machine Learning 做為 AI 開發平台的優勢，最後使用 Azure Machine Learning 來 Live Demo 一個簡易的 MLOps 專案。]]>
這是 2021/12/18 在 .NET Conf Taiwan 所分享的內容。這幾年 MLOps 愈來愈火紅，已經成為企業 AI 落地的最後一哩路，許多企業的 AI 專案無法上到生產環境，往往是卡在 MLOps 的不足。本次演講會簡介 MLOps 的一些基本概論，並且介紹 Azure Machine Learning 做為 AI 開發平台的優勢，最後使用 Azure Machine Learning 來 Live Demo 一個簡易的 MLOps 專案。]]> Tue, 28 Dec 2021 14:23:04 GMT /slideshow/introduction-to-mlops-in-azure-machine-learning-with-live-demo/250911836 KoKo164@slideshare.net(KoKo164) Introduction to MLOps in Azure Machine Learning with Live Demo KoKo164 這是 2021/12/18 在 .NET Conf Taiwan 所分享的內容。這幾年 MLOps 愈來愈火紅，已經成為企業 AI 落地的最後一哩路，許多企業的 AI 專案無法上到生產環境，往往是卡在 MLOps 的不足。本次演講會簡介 MLOps 的一些基本概論，並且介紹 Azure Machine Learning 做為 AI 開發平台的優勢，最後使用 Azure Machine Learning 來 Live Demo 一個簡易的 MLOps 專案。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2021mlops-211228142305-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2021/12/18 在 .NET Conf Taiwan 所分享的內容。這幾年 MLOps 愈來愈火紅，已經成為企業 AI 落地的最後一哩路，許多企業的 AI 專案無法上到生產環境，往往是卡在 MLOps 的不足。本次演講會簡介 MLOps 的一些基本概論，並且介紹 Azure Machine Learning 做為 AI 開發平台的優勢，最後使用 Azure Machine Learning 來 Live Demo 一個簡易的 MLOps 專案。

Introduction to MLOps in Azure Machine Learning with Live Demo from Ko Ko

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0 Azure Machine Learning 重頭學 /slideshow/azure-machine-learning-250298516/250298516 aml-210926062727
這是 2021/09/25 在 Study4 分享的投影片。從最基本的 Azure Machine Learning 的觀念講起，然後帶大家建立資料集、訓練模型、到部署模型。並且利用等待訓練的時間，和大家分享 AI 專案的實戰經驗。]]>
這是 2021/09/25 在 Study4 分享的投影片。從最基本的 Azure Machine Learning 的觀念講起，然後帶大家建立資料集、訓練模型、到部署模型。並且利用等待訓練的時間，和大家分享 AI 專案的實戰經驗。]]> Sun, 26 Sep 2021 06:27:27 GMT /slideshow/azure-machine-learning-250298516/250298516 KoKo164@slideshare.net(KoKo164) Azure Machine Learning 重頭學 KoKo164 這是 2021/09/25 在 Study4 分享的投影片。從最基本的 Azure Machine Learning 的觀念講起，然後帶大家建立資料集、訓練模型、到部署模型。並且利用等待訓練的時間，和大家分享 AI 專案的實戰經驗。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aml-210926062727-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2021/09/25 在 Study4 分享的投影片。從最基本的 Azure Machine Learning 的觀念講起，然後帶大家建立資料集、訓練模型、到部署模型。並且利用等待訓練的時間，和大家分享 AI 專案的實戰經驗。

Azure Machine Learning 重頭學 from Ko Ko

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0 厂颈驳苍补濒搁整合尝滨狈贰，在尝滨贵贵裡建立一对一聊天管道 /slideshow/signalrlineliff/249898921 20210715signalrwithline-210801092932
這是 2021/08/01 在開源人年會分享的內容。 LINE 開啟 webhook 之後，就無法一對一聊天了。本次演講會利用開源的websocket 套件，SignalR，在LIFF裡建立一對一聊天的管道，解決客服問題。]]>
這是 2021/08/01 在開源人年會分享的內容。 LINE 開啟 webhook 之後，就無法一對一聊天了。本次演講會利用開源的websocket 套件，SignalR，在LIFF裡建立一對一聊天的管道，解決客服問題。]]> Sun, 01 Aug 2021 09:29:32 GMT /slideshow/signalrlineliff/249898921 KoKo164@slideshare.net(KoKo164) 厂颈驳苍补濒搁整合尝滨狈贰，在尝滨贵贵裡建立一对一聊天管道 KoKo164 這是 2021/08/01 在開源人年會分享的內容。 LINE 開啟 webhook 之後，就無法一對一聊天了。本次演講會利用開源的websocket 套件，SignalR，在LIFF裡建立一對一聊天的管道，解決客服問題。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20210715signalrwithline-210801092932-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2021/08/01 在開源人年會分享的內容。 LINE 開啟 webhook 之後，就無法一對一聊天了。本次演講會利用開源的websocket 套件，SignalR，在LIFF裡建立一對一聊天的管道，解決客服問題。

厂颈驳苍补濒搁整合尝滨狈贰，在尝滨贵贵裡建立一对一聊天管道 from Ko Ko

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0 來玩 Bot Framework Composer 2.0版吧！ /slideshow/bot-framework-composer-20/249517747 20210628botframeworkandcomposer-210628152147
這是 2021/06/28 ，在Chatbot Developers Taiwan 所分享的主題。主要介紹了 Bot Framework Composer 2.0 的一些新功能，並且用 Live Demo 的型式，做了一個Chatbot ，最後部署到Azure裡。]]>
這是 2021/06/28 ，在Chatbot Developers Taiwan 所分享的主題。主要介紹了 Bot Framework Composer 2.0 的一些新功能，並且用 Live Demo 的型式，做了一個Chatbot ，最後部署到Azure裡。]]> Mon, 28 Jun 2021 15:21:47 GMT /slideshow/bot-framework-composer-20/249517747 KoKo164@slideshare.net(KoKo164) 來玩 Bot Framework Composer 2.0版吧！ KoKo164 這是 2021/06/28 ，在Chatbot Developers Taiwan 所分享的主題。主要介紹了 Bot Framework Composer 2.0 的一些新功能，並且用 Live Demo 的型式，做了一個Chatbot ，最後部署到Azure裡。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20210628botframeworkandcomposer-210628152147-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2021/06/28 ，在Chatbot Developers Taiwan 所分享的主題。主要介紹了 Bot Framework Composer 2.0 的一些新功能，並且用 Live Demo 的型式，做了一個Chatbot ，最後部署到Azure裡。

來玩 Bot Framework Composer 2.0版吧！ from Ko Ko

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0 用 C# 與 .NET 也能打造機器學習模型：你所不知道的 ML.NET 初體驗 /slideshow/c-net-mlnet-249340276/249340276 20210609mlnet-210613154726
這是 2021/06/09 在Will 保哥的技術交流中心，所做的技術分享。先初步介紹了做 AI 的一些觀念，然後帶大家體驗 ML.NET 和 Model Builder 的威力，再談談 ML.NET 的部署，以及做 AI 專案時的其他經驗分享。 ]]>
這是 2021/06/09 在Will 保哥的技術交流中心，所做的技術分享。先初步介紹了做 AI 的一些觀念，然後帶大家體驗 ML.NET 和 Model Builder 的威力，再談談 ML.NET 的部署，以及做 AI 專案時的其他經驗分享。 ]]> Sun, 13 Jun 2021 15:47:26 GMT /slideshow/c-net-mlnet-249340276/249340276 KoKo164@slideshare.net(KoKo164) 用 C# 與 .NET 也能打造機器學習模型：你所不知道的 ML.NET 初體驗 KoKo164 這是 2021/06/09 在Will 保哥的技術交流中心，所做的技術分享。先初步介紹了做 AI 的一些觀念，然後帶大家體驗 ML.NET 和 Model Builder 的威力，再談談 ML.NET 的部署，以及做 AI 專案時的其他經驗分享。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20210609mlnet-210613154726-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2021/06/09 在Will 保哥的技術交流中心，所做的技術分享。先初步介紹了做 AI 的一些觀念，然後帶大家體驗 ML.NET 和 Model Builder 的威力，再談談 ML.NET 的部署，以及做 AI 專案時的其他經驗分享。

用 C# 與 .NET 也能打造機器學習模型：你所不知道的 ML.NET 初體驗 from Ko Ko

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0 聊天机器人的行销与开发技巧应用在婚礼上 /KoKo164/ss-242424799 20210203linebotscratchinwedding1-210208144843
這是 2021/02/03 在 Chatbot 社群分享的主題。主要是介紹聊天機器人的行銷技巧，整合小遊戲的方式，以及介紹LINE OA]]>
這是 2021/02/03 在 Chatbot 社群分享的主題。主要是介紹聊天機器人的行銷技巧，整合小遊戲的方式，以及介紹LINE OA]]> Mon, 08 Feb 2021 14:48:43 GMT /KoKo164/ss-242424799 KoKo164@slideshare.net(KoKo164) 聊天机器人的行销与开发技巧应用在婚礼上 KoKo164 這是 2021/02/03 在 Chatbot 社群分享的主題。主要是介紹聊天機器人的行銷技巧，整合小遊戲的方式，以及介紹LINE OA <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20210203linebotscratchinwedding1-210208144843-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這是 2021/02/03 在 Chatbot 社群分享的主題。主要是介紹聊天機器人的行銷技巧，整合小遊戲的方式，以及介紹LINE OA

聊天机器人的行销与开发技巧应用在婚礼上 from Ko Ko

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0 ML.NET 在遷移式學習的應用與挑戰 /slideshow/mlnet-240425254/240425254 20201219mlnet-201222070833
這場是在 dotnet conference 2020 演講的投影片。共筆參考：https://hackmd.io/@Study4/dotnetconf-2020/%2FXMLkP68lTe65wseAnL0u5g 遷移式學習可以用少量的資料做出高準確度，是現今做 AI 專案的主流技術。本次主題將探討遷移式學習在實務上的應用方式，以及和 ML.NET 的整合的做法，和其不足的地方。並且介紹最新的model builder 。]]>
這場是在 dotnet conference 2020 演講的投影片。共筆參考：https://hackmd.io/@Study4/dotnetconf-2020/%2FXMLkP68lTe65wseAnL0u5g 遷移式學習可以用少量的資料做出高準確度，是現今做 AI 專案的主流技術。本次主題將探討遷移式學習在實務上的應用方式，以及和 ML.NET 的整合的做法，和其不足的地方。並且介紹最新的model builder 。]]> Tue, 22 Dec 2020 07:08:33 GMT /slideshow/mlnet-240425254/240425254 KoKo164@slideshare.net(KoKo164) ML.NET 在遷移式學習的應用與挑戰 KoKo164 這場是在 dotnet conference 2020 演講的投影片。共筆參考：https://hackmd.io/@Study4/dotnetconf-2020/%2FXMLkP68lTe65wseAnL0u5g 遷移式學習可以用少量的資料做出高準確度，是現今做 AI 專案的主流技術。本次主題將探討遷移式學習在實務上的應用方式，以及和 ML.NET 的整合的做法，和其不足的地方。並且介紹最新的model builder 。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20201219mlnet-201222070833-thumbnail.jpg?width=120&height=120&fit=bounds" /> 這場是在 dotnet conference 2020 演講的投影片。共筆參考：https://hackmd.io/@Study4/dotnetconf-2020/%2FXMLkP68lTe65wseAnL0u5g 遷移式學習可以用少量的資料做出高準確度，是現今做 AI 專案的主流技術。本次主題將探討遷移式學習在實務上的應用方式，以及和 ML.NET 的整合的做法，和其不足的地方。並且介紹最新的model builder 。

ML.NET 在遷移式學習的應用與挑戰 from Ko Ko

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/20241017langchainworkshop-241018070337-3586195a-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/llm-langchain-langchain-workshop/272520429 應用 LLM 框架：LangChain 入門... https://cdn.slidesharecdn.com/ss_thumbnails/20240912hellodevlangserve-240912133838-34e2a201-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/20240912-hello-world-dev-conference-langserve-ai/271757618 20240912 Hello World D... https://cdn.slidesharecdn.com/ss_thumbnails/2024-8-14trackakoko-240814151442-f37126a4-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/devdays-asia-2024-demo-langchain-azure/271013574 DevDays Asia 2024 Demo...