Show HN: Beam – Find Better Answers with Multi-Model AI Reasoning

HN, first things first: one year ago you make me believe in my opensource AI project, and I'm forever grateful[1].

I am back with Beam - a technique to use diverse LLMs to generate responses, and Merge them - all within a snappy UX. I am no researcher, so you'll find a dark-mode blog, and not a light-mode PDF on arxiv :) Blog, open code, and live hosted demo, all published.

You can use Beam early on in a chat, where looking at more options is key to be more confident in the answer, but also when no answer if perfect, but fusing many together will work well. Take a look and let me know what you think!

[1]: The good reception to my first HN post and the 300 GH stars gave me the courage to follow my passion and double-down on my project, which now users love.

Show HN: Beam – Find Better Answers with Multi-Model AI Reasoning
big-agi.com

Wow, this is awesome. I tried Beam mode. It does produce better results!

I can't believe how much quicker it is to get to an optimal, comprehensive outcome using Beam. This is a groundbreaking way of interacting with LLMs.

Same. I like using Opus | Gpt-4 | Gemini Pro (I don't have Ultra) | Mistral Large.

With Beam, we can easily experiment approaches such as Chain-Of-Though-with-Self-Consistency (CoT-SC) and other reasoning meta framework, but with more manual control. I always had issues using LLM's chat driven interface to figuring out/explore issues that i'm interested, since conversation/chats is always linear while reasoning/working on some ideas is structural. Beam seems to be a much better UX than the linear chat UX that saves me a lot of copy and paste and save and retry. Awesome work!