The Free Transformer (Introduced by Meta) скачать в хорошем качестве

The Free Transformer (Introduced by Meta)

🔥 The Free Transformer (Meta's New Architecture), A New Era of Latent-Aware Generative Models from Meta AI Description: What if Transformers could think beyond autoregression? In this video, we explore The Free Transformer, a groundbreaking model from François Fleuret (FAIR at Meta) that extends the standard decoder Transformer with latent variables learned through a variational approach — all with minimal computational overhead. By integrating concepts from Variational Autoencoders (VAEs), the Free Transformer allows the generative process to condition on random latent variables, unlocking richer, more structured, and more interpretable generation. 🧠 Key Highlights: Reimagines the autoregressive Transformer as a conditional VAE Introduces a random latent state Z injected mid-layer with less 4% compute overhead Achieves significant performance gains on reasoning-heavy benchmarks like HumanEval+, GSM8K, MBPP, and MMLU Demonstrates improved inductive bias and stability across scales (1.5B to 8B models) A step toward bridging latent reasoning and chain-of-thought generation 📊 Results: Trained models outperform baselines on code, math, and reasoning tasks — even without hyperparameter tuning. 💡 Why it matters: The Free Transformer may represent a key milestone in large model design — blending probabilistic reasoning with the raw generative power of modern Transformers. #AI #Transformers #DeepLearning #MetaAI #VAE #MachineLearning #LLMs #ResearchBreakthrough #generativeai