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Streamlining AI Integration - JSJ 616

JavaScript Jabber

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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.

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