Explore MIT’s groundbreaking research on self-adapting language models, revealing their potential to improve AI performance through self-generated training data and real-time updates.
Read More
Matthew Berman discusses Reinforcement Pre-Training (RPT), a new approach to AI that enhances learning capabilities without curated datasets.
Read More
Yann LeCun discusses why scaling LLMs won’t achieve AGI and the necessary advancements for reaching true intelligence.
Read More
Exploring AI’s causal reasoning failures and strategies to improve models like GPT-4 Omni and Claude 3 Sonnet. Learn about DSP, TX Graph, and advanced reasoning frameworks.
Read More
Explore the transformative advancements in AI for healthcare by Google DeepMind. Learn about AI diagnostics, MedGemini, and the future of AI in medicine.
Read More
Meta drops Chameleon 7B and 34B models, marking a new era in multimodal AI with a unified architecture for text and images. Available under a research-only license.
Read More