My picks: 1) Your brand through ChatGPT eyes, 2) Copilot Vision, 3) Agents are not enough, and 4) Scaling LLM Test-Time Compute.

Issue #3 is out: kzbin.info/www/bejne/r5LEYWihZbJ2i7M

Issue 2 is out: www.linkedin.com/pulse/applied-ai-news-2-reza-bonyadi-umptf Prefer listening instead of reading? You’re covered! 🎧 Listen on Spotify: open.spotify.com/episode/22MpSSAFVAwuTx4U9nK4db 📺 Watch on KZbin: kzbin.info/www/bejne/bpuTd6yOmpV7r9E

AI gents are growing, but designing agents is a mishmash of gut feels and guesses. Anthropic provides a set of best practices for building effective LLM agents here: www.anthropic.com/research/building-effective-agents This is a fantastic, practical and straightforward guideline to creating and deploying LLM-based agents. The article discusses the problem of building effective LLM agents, specifically highlighting the challenges of relying on overly complex frameworks. It also tackles the lack of transparency and control (aka, evaluation) in existing solutions, where direct API interactions are limited. See more here: www.linkedin.com/pulse/applied-ai-news-1-reza-bonyadi-abzxf If you prefer audio then listen to an extended commentary in - Spotify (open.spotify.com/episode/5jY3AujFf1TBJDe9EAJM0Z)

So great, wonderful!👏

This is called Galaxy unpacked 😆

Wonderful car, totally nailed it :)

good stuff :)