Yann LeCun's argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning.
Together, these open-source contenders signal a shift in the LLM landscape—one with serious implications for enterprises ...
A new framework called METASCALE enables large language models (LLMs) to dynamically adapt their reasoning mode at inference time. This framework addresses one of LLMs’ shortcomings, which is using ...
A software developer has proven it is possible to run a modern LLM on old hardware like a 2005 PowerBook G4, albeit nowhere ...
The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...
Seoul National University Hospital recently announced that it has developed the first Korean Medical Large Language Model ...
The emergence of vision language models (VLMs) offers a promising new approach. VLMs integrate computer vision (CV) and natural language processing (NLP), enabling AVs to interpret multimodal data by ...
Optimize your LLM applications with lm.txt and MCP – the ultimate tools for efficient, transparent, and scalable AI context ...
Alibaba developed QwQ-32B through two training sessions. The first session focused on teaching the model math and coding skills. To support the learning process, Alibaba set up a server that ran the ...
The ChatGPT developer provides two LLM collections ... helps guide the learning process. Unsupervised learning does away with the metadata and requires the model to understand the training ...