Streamlining AI Integration - JSJ 616
JavaScript Jabber
Technology Stack and Project Comparison
The speakers discuss the technology stack used in their project, including Python concurrent and async Python, fast API, Rust services for memory, and Next.js. They also compare their project to Olama, focusing on the knowledge assistant agent and the fine-tuning of language and retrieval models. Additionally, they introduce Langchain, an open source framework for building AI assistants, and its simplified version, super agent.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
