Brendan Mannix

Can LLMs invent better ways to train LLMs? At Sakana AI, we’re pioneering AI-driven methods to automate AI research and discovery. We’re excited to release DiscoPOP: a new SOTA preference optimization algorithm that was discovered and written by an LLM! sakana.ai/llm-squared/ Our method leverages LLMs to propose and implement new preference optimization algorithms. We then train models with those algorithms and evaluate their performance, providing feedback to the LLM. By repeating this process for multiple generations in an evolutionary loop, the LLM discovers many highly-performant and novel preference optimization objectives! Paper: arxiv.org/abs/2406.08414 GitHub: github.com/SakanaAI/DiscoPOP Model: huggingface.co/SakanaAI/Disc… We proudly collaborated with the @UniOfOxford (@FLAIR_Ox) and @Cambridge_Uni (@MihaelaVDS) on this groundbreaking project. Looking ahead, we envision a future where AI-driven research reduces the need for extensive human intervention and computational resources. This will accelerate scientific discoveries and innovation, pushing the boundaries of what AI can achieve.