michabbb<p>• 🧠 <a href="https://social.vivaldi.net/tags/g1" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>g1</span></a> prototype uses <a href="https://social.vivaldi.net/tags/Llama3170b" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Llama3170b</span></a> on <a href="https://social.vivaldi.net/tags/Groq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Groq</span></a> to create o1-like reasoning chains</p><p>• 🔬 Improves <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> logic through prompting strategies without additional training</p><p>• 🍓 Achieves ~70% accuracy on Strawberry problem vs 0% baseline for unprompted model</p><p>• 🔓 Open-sourced to inspire <a href="https://social.vivaldi.net/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> community to develop new <a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> reasoning techniques</p><p>• 🛠️ Uses dynamic Chain of Thought, multiple methods, and alternative answer exploration</p><p>• 💻 Available on <a href="https://social.vivaldi.net/tags/GitHub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GitHub</span></a> with <a href="https://social.vivaldi.net/tags/Streamlit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Streamlit</span></a> and <a href="https://social.vivaldi.net/tags/Gradio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gradio</span></a> user interfaces for testing</p><p><a href="https://github.com/bklieger-groq/g1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/bklieger-groq/g1</span><span class="invisible"></span></a></p>