3 min
AI InsightsJust now
Google's "Internal RL" Leaps Toward Long-Horizon AI
Google's "internal RL" technique offers a promising alternative to traditional next-token prediction for training AI models, potentially enabling them to tackle complex reasoning tasks and long-horizon planning more effectively. By guiding the model's internal activations toward step-by-step solutions, this approach could pave the way for more autonomous AI agents capable of handling real-world robotics and intricate problem-solving without constant human intervention. This advancement addresses a key limitation of current LLMs, which struggle with long-horizon tasks due to their token-by-token generation process.
00
Discussion
Join the conversation
Be the first to comment