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Benjamin Klieger Profile picture
@BenjaminKlieger
Sep 13 • 3 tweets • 1 min read • Read on X
Hacked together an app today powered by Llama-3.1 on @GroqInc. Inspired by o1, it uses reasoning chains to solve problems. Maybe prompting is all you need?

Works great on the Strawberry problem, even triple checks the solution! All within 4 seconds of thinking… at the speed of Groq.Image
GitHub repository with the code coming soon!

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More from @BenjaminKlieger

Benjamin Klieger Profile picture
Sep 14
Inspired by the new o1 model, I hacked together g1, powered by Llama-3.1 on @GroqInc. It uses reasoning chains to solve problems.

It solves the Strawberry problem ~70% of the time, with no fine tuning or few shot techniques.

A thread 🧵 (with GitHub repo!)


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Here is the GitHub repo: github.com/bklieger-groq/…
How does it work?

g1 uses reasoning chains, in principle a dynamic Chain of Thought, that allows the LLM to "think" and solve some logical problems that usually otherwise stump leading models.

At each step, the LLM can choose to continue to another reasoning step, or provide a final answer. Each step is titled and visible to the user.

The system prompt also includes tips for the LLM. The README on GitHub has a full breakdown, but a few examples are asking the model to “include exploration of alternative answers” and “use at least 3 methods to derive the answer”.
Read 6 tweets

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