Part 6/11:
Innovations Behind Tulu 3's Success
AI2 implemented groundbreaking techniques in training Tulu 3, allowing it to become a formidable player in the AI space.
Supervised fine-tuning and Direct Preference Optimization (DPO) ensured higher accuracy and more natural, human-like responses, making interactions intuitive.
The Reinforced Learning with Verifiable Rewards (RVR) method is particularly notable. Unlike typical reinforcement learning, which often rewards patterns over correctness, RVR guarantees Tulu 3's learning is based on verifiably accurate answers. This approach minimizes common issues like hallucinations, resulting in a more reliable AI model.