Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Malicious AI browser extensions collected LLM chat histories and browsing data from platforms such as ChatGPT and DeepSeek.

Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Businesses in regulated industries are increasingly deploying private large language models to protect sensitive data, maintain compliance, and integrate AI into mission-critical workflows.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

Anthropic is accusing three Chinese artificial intelligence companies of "industrial-scale campaigns" to "illicitly extract" its technology using distillation attacks. Anthropic says these companies ...

In many ways, generative AI has made finding information on the Internet a lot easier. But, because LLMs are trained on past ...

Ipsita Dasgupta, Senior Vice President and Managing Director of HP India, Bangladesh, and Sri Lanka, speaking at the AI Impact Summit 2026, said India must adopt a balanced approach to artificial ...