

EP40: Open AI Dev Day Recap: Custom GPTs, GPT-4 Turbo, Assistants API Discussion & Test Drive
21 snips Nov 10, 2023
Deep dive into OpenAI's latest offerings, including custom GPTs, GPT-4 Turbo, and Assistants API. Monetization challenges and the effectiveness of prompts and models are discussed. The limitations of GPT-4 Turbo and the use of embeddings and vector databases for text retrieval are explored. The significance of JSON output and the OpenAI Dev Day recap are also highlighted.
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Custom GPTs: Power vs. Simplicity
- Custom GPTs empower users to create and share AI models, potentially monetizing them through a store.
- However, building them is simple, but true power comes from custom actions/APIs, requiring technical expertise.
NBA Stats Agent Challenge
- Chris tried recreating an NBA stats prediction agent using Custom GPTs but encountered data sourcing issues.
- Relying on web browsing for data proved unreliable, forcing manual data uploads for accuracy.
Assistants API: Convenience vs. Lock-in
- OpenAI's knowledge files (RAG) and Assistants API offer AI agent as a service.
- However, this might create vendor lock-in, making switching to other LLMs difficult.