Enterprise Data Science Specialist @Mastech Digital | NLP | NER | Deep Learning | Gen AI | MLops
This project using Llama-3.1 70B on Groq to generate O1-like reasoning chains sounds like a fascinating exploration into improving reasoning capabilities of LLMs! The combination of role-playing and chain-of-thought prompting is a clever way to enhance the model’s logical reasoning and step-by-step problem-solving. 🔗 Chain-of-Thought Prompting: This technique allows the model to break down complex queries into smaller, manageable steps, simulating O1-complexity reasoning. By carefully structuring the prompt, you're guiding the model toward more accurate, context-aware solutions—a valuable tool for advanced tasks like deductive reasoning or complex decision-making. ⚙️ Prompt Engineering Tricks: The use of role-playing and strategic formatting pushes the model's ability to reason in ways that mimic human-like thought processes, while keeping the output structured and relevant. These prompt techniques, although subtle, can significantly improve the model's reasoning efficiency. 💡 Why Groq? Leveraging Groq’s low-latency and high-performance compute accelerates the processing of the massive Llama-3.1 70B model, allowing for faster experimentation with reasoning chains while maintaining accuracy. This is an exciting step forward in refining AI’s ability to perform complex reasoning tasks! Can’t wait to see where this leads! 🚀 #LLMs #ChainOfThought #PromptEngineering #Llama31 #Groq #AIReasoning #AIResearch #TechInnovation #O1Complexity #MachineLearning
Cofounder & CEO at DAIR.AI | Ph.D. | Prev: Meta AI, Galactica LLM, Elastic | Prompting Guide (6M+ learners) | I teach how to build with AI ⬇️
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains. Seems like an interesting open project to create o1-like reasoning chains. It's not fancy but it's powered by a prompt that leverages role-playing, chain-of-thought prompting, formatting, and a bunch of prompting tricks. More here: https://lnkd.in/eJmxH_nT Great project by @BenjaminKlieger