Synthetic Data Generation
Aidan emphasizes the importance of using real-world data for training models in physics and language, rather than relying on flawed simulators. He highlights the effectiveness of starting from first principles in mathematics for synthetic data generation. Tim discusses the potential of constraining code for specific tasks to enhance model performance.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)
Related Questions
What is synthetic data as discussed in the episode Principle-centric AI with Adrien Gaidon - #575 and the clip Synthetic Data Insights?
How are large language models (LLMs) trained as discussed in the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?
How are large language models (LLMs) trained as discussed in the episode Data, data, everywhere - enough for AGI? and the clip AI Data Explosion, specifically in the context of the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?