They rely on deep learning architectures, specifically transformers, to capture and model the intricate relationships between words, phrases, and concepts in a text. The size of an LLM is ...

Yann LeCun’s argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning. LeCun argues that these fundamental limitations will require an entirely ...

Google DeepMind’s GenRM (source: arXiv) The CoT rationales used to train the GenRM model can either be generated by humans or by another LLM. During inference, the GenRM first generates a CoT ...

Today, there is hardly any way around AI. But how do companies decide which large language model (LLM) is right for them? The choice is currently wider than ever, the possibilities seemingly endless.

Abstract The DeepSeek frenzy is reshaping the market for large language models (LLM). In addition to open-source and closed-source models, the open-closed-source composite (hybrid) model offers ...

Anthropic recently released their Model Context Protocol (MCP), an open standard describing a protocol for integrating external resources and tools with LLM apps. The release includes SDKs ...

In their paper, the creators of s1-32B write that their LLM marks the first publicly disclosed successful attempt at replicating “clear test-time scaling behavior.” “Our model s1-32B exhibit ...

With an industry-specific large language model to support claims and underwriting ... demonstrates key features of the Insurance LLM offering. This episode is sponsored by EXL, which drives ...

A large language model (LLM) is a type of artificial intelligence model that has been trained to recognize and generate vast quantities of written human language. Written by Contributors eWEEK ...