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Explore how to build differentiated applications on top of language models by providing relevant context and enabling appropriate reasoning in this conference talk. Learn about different types of context to consider, emerging levels of cognitive architectures, and how LangChain and LangSmith facilitate this development process. Discover the fundamentals of LangChain, understand various context examples, and examine retrieval augmented generation techniques alongside fine-tuning approaches. Delve into reasoning capabilities and magical user experiences while addressing key challenges in data engineering, evaluation, and collaboration. Gain insights from the CEO and co-founder of LangChain on building useful language model applications that stand out in the competitive landscape.
Syllabus
Intro
What is LangChain
Context
Examples
Retrieval Augmented Generation
Fine Tuning
Reasoning
Magical Experiences
Challenges
Data Engineering
Evaluation
Collaboration
Conclusion
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