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It enables applications that:\nAre context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc.)\nReason: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)\n\n## About this talk\n\nI am Rishab Kumar, a Staff Developer Evangelist at Twilio and I have given this talk at few conferences. There is a live coding aspect to the talk, the code for both projects that we build during the talk can be found in `pets-name` and `youtube-assistant`.\nI talk about what is LangChain? And what are some of the core concepts within LangChain, then we try to build our AI/LLM powered app with the LangChain framework.\n\n## Demo\n\nI have a freeCodeCamp course on LangChain that is very similar to this talk.\n[![freeCodeCamp Course - LangChain](https://img.youtube.com/vi/lG7Uxts9SXs/0.jpg)](https://www.youtube.com/watch?v=lG7Uxts9SXs)\n\n## Author\n\nTwitter: [@rishabincloud](https://x.com/rishabincloud)\nGitHub: [@rishabkumar7](https://github.com/rishabkumar7)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frishabkumar7%2Fintro-to-langchain-talk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frishabkumar7%2Fintro-to-langchain-talk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frishabkumar7%2Fintro-to-langchain-talk/lists"}