Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI
Natural Language ProcessingModel DevelopmentTraining MethodsAI ModelsDeep Learning Technology
The episode covers various topics including the background and journey into NLP, development of annotation projects and model size considerations, closing the gap with GPT-4 and training improvements in Lama 3, multilingual capabilities and synthetic data generation in Lama 3, Lama 3 training and model improvement, supervised fine-tuning, reinforcement learning with human feedback, and the teacher-critic method, advancements in AI models and evaluating progress, state-of-the-art results and integration of world models, thinking in latent space and balancing research with product needs, rapid evolution of deep learning technology, and common sense thinking.