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.
3. 在 Azure Machine Learning
上學習 LangChain
Ko Ko, Microsoft AI MVP
2023/12/10 @ .NET Conf Taiwan @NTU
4. 關於 Ko Ko
• Ko Ko 是本名。
• 連續四年當選 Microsoft AI MVP。
• 國內外大型技術年會講師，包含 COSCUP、ModernWeb、名古屋開源年會、香
港開源年會、PyCon APAC、PyCon HK、DevDays Asia 等等的活動。
• 合著有《駕馭 ChatGPT 4: 探索 Azure OpenAI 與 Cognitive Service for
Language 開發實踐 (使用.NET 與 Node.js)》
• https://linktr.ee/qqkerk
5. 大綱
• 快速複習 LLM 的知識
• Azure Open AI 介紹
• 向量資料庫介紹
• LangChain 介紹
• Azure Machine Learning 介紹
• Live Demo --- 用 LangChain 快速打造具企業知識的 AI
6. Large Language Model
• 基於 Transformer 架構
• 使用大量的文本進行訓練
• 參數超多，包含數億到數兆個參數
• 可以進行廣泛的語言任務
• 模型的能力往往與其規模正相關
7. GPT 家族
• Improving Language Understanding by Generative Pre-Training
• Language Models are Unsupervised Multitask Learners
• Language Models are Few-Shot Learners
• Training language models to follow instructions with human feedback
• GPT-4 Technical Report
• GPT
• GPT-2
• GPT-3
• Instruct GPT
• GPT-4
