Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...

The rise of large language models (LLMs) such as GPT-4, with their ability to generate highly fluent, confident text has been remarkable, as I’ve written. Sadly, so has the hype: Microsoft researchers ...

The inherent weaknesses of large language models are reason enough to explore other technologies, such as reinforcement learning or recurrent neural networks. We need to have a frank conversation ...

OpenAI has introduced its latest AI model, ChatGPT o1, a large language model (LLM) that significantly advances the field of AI reasoning. Leveraging reinforcement learning (RL), o1 represents a leap ...

It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...

In the exciting realm of machine learning and artificial intelligence, the nuances between different types of models can often seem like a labyrinth. Specifically, when it comes to Large Language ...