AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
2min snip
Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024
Unsupervised Learning
Embracing Multi-Agent Frameworks as State Machines
The evolution of AI has led to a shift towards using multi-agent frameworks as controlled state machines with specific prompts and tools. By viewing agents as state machines, there is more control over the transition probabilities between prompts, creating a more reliable and focused system. Frameworks like Langgraph are embracing this concept, allowing for a structured approach to agent development based on specific states and transitions.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode