The Building Blocks of Agentic Systems with Harrison Chase - #698
2024-08-19 · 59 min · episode 698 · 16 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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The Building Blocks of Agentic Systems with Harrison Chase - #698
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Feed author/publisher: Sam Charrington
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Feed author/publisher: TWIML
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CEO of LangChain
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The Building Blocks of Agentic Systems with Harrison Chase - #698
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Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
The Building Blocks of Agentic Systems with Harrison Chase - #698
Episode description as stored
Today, we're joined by Harrison Chase, co-founder and CEO of LangChain to discuss LLM frameworks, agentic systems, RAG, evaluation, and more. We dig into the elements of a modern LLM framework, including the most productive developer experiences and appropriate levels of abstraction. We dive into agents and agentic systems as well, covering the “spectrum of agenticness,” cognitive architectures, and real-world applications. We explore key challenges in deploying agentic systems, and the importance of agentic architectures as a means of communication in system design and operation. Additionally, we review evolving use cases for RAG, and the role of observability, testing, and evaluation tools in moving LLM applications from prototype to production. Lastly, Harrison shares his hot takes on prompting, multi-modal models, and more!
The complete show notes for this episode can be found at https://twimlai.com/go/698.