large language models

Large language models are advanced artificial intelligence systems trained on vast amounts of text data, designed to understand, generate, and refine human-like language for a wide range of tasks.

Why it’s in the news: They are in the news due to their rapid adoption across various industries, including enterprise development and the legal profession, alongside growing concerns over their misuse for malicious purposes like hacking and espionage.

Latest on large language models

• Large Language Models (LLMs): Transforming Enterprise AI Development
• As large language models enter China’s legal profession, which lawyers will lose out?
• IEEE Rolls Out Large Language Models Virtual Training Course
• Yet another experiment proves it's too damn simple to poison large language models
• Hackers are using these expensive large language models for extortion, warfare and espionage, the report stated.
• LLMs don't care about intent — they're pattern-matching machines that compress months of vulnerability research into seconds, available to anyone with an API key.
• Large language models don't consume power on a predictable curve — they scale with context length, inference frequency, and training runs that haven't been built yet
• Users can install large language models directly on personal computers to create a digital assistant while maintaining data privacy.
• Yet the regulatory conversation in most markets remains anchored to large language models and data privacy, not to the question of who certifies a robot's decision-making before it touches a person or critical infrastructure.
• Rules Hub, which uses large language models to evaluate whether posts and comments match the intent of a community rule
• Optane was engineered precisely for this: microsecond access, write endurance that laughed at the punishment of constant KV cache rewrites
• five different large language models generated the same 127 fake package names when hallucinating nonexistent libraries

Connections

22 entities linked to large language models across the news graph.