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Building Reactive AI Apps: Matt Welsh
Nov 9, 2023 · 17:02
Matt Welsh announces AI.JSX, an open-source TypeScript framework he describes as 'React for LLMs,' which lets developers build reactive AI applications by composing JSX components that render to an LLM rather than the DOM. He argues AI.JSX makes LLM app development accessible to JavaScript developers, not just Python back-end engineers, by handling RAG, tool invocation, and real-time voice interaction out of the box. Welsh demonstrates parallel streaming of multiple LLM calls for story generation, a kid-safe wrapper component that rewrites content, and a 10-line RAG implementation. He showcases a live voice demo where an AI takes a donut order with sub-second latency, powered by Fixie's cloud platform for hosting, managed RAG pipelines, and conversational state. He emphasizes the framework's full React integration and ability to generate UI from AI, positioning AI.JSX as a simplification for building sophisticated LLM-powered apps.

Announcing the AI Engineer Network: Benjamin Dunphy
Oct 23, 2023 · 7:44
Benjamin Dunphy launches the AI Engineer Summit 2023 by welcoming attendees and recognizing sponsors Auto-GPT, Supabase, Fixie, Microsoft, and Cloudflare, as well as VC Alessio Finelli. He then unveils two major updates for the conference's mobile app, Network: AI-Enhanced Matching, a generative algorithm using LLMs to connect attendees based on stated problems, and the open-sourcing of both the event app and matching algorithm on GitHub, enabling any event to use them. Dunphy credits lead engineer Simon Sturmer for the mobile app, 'Sweezett's teller' for the matching algorithm, and infrastructure partners Dscope (auth) and Supabase (database and PG vector). The announcements aim to improve high-signal networking among the 500 selected engineers, founders, and sponsors at the summit.
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