The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) The Building Blocks of Agentic Systems with Harrison Chase - #698
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Aug 19, 2024 
Harrison Chase, co-founder and CEO of LangChain, shares insights from his extensive background in machine learning and MLOps. He discusses the evolution of agentic systems, emphasizing their real-world applications and communication needs. Harrison delves into Retrieval-Augmented Generation (RAG) and the importance of observability tools for enhancing agent development. He also highlights the challenges of transitioning prototypes to production and offers his hot takes on prompting and multi-modal models, providing a glimpse into the future of LLM applications.
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LangChain's Growth
- LangChain's huge growth is driven by rising LLM popularity and its role as an orchestration framework.
- Its open-source nature and numerous integrations attract many contributors.
LangChain Product Suite
- LangSmith bridges the gap from prototype to production by offering observability, testing, and evaluation tools.
- LangGraph facilitates agentic applications with looping, branching, and persistence.
Agent Trends
- Agents are gaining traction, but reliability remains a challenge.
- Effective agents are often focused, custom-built "cognitive architectures," not just unbounded loops.