The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

This is the 2nd part of my analysis on Anthropic Claude and its system-wide prompt, focusing on the mental health directives.

Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about large language models, check out the LLM From Scratch project. The ...

MTS/Senior Software Engineer previously worked on large scale web applications @ Apple, Ebay and Oracle. Large Language Models (LLMs) can automate the development process by generating substantial ...

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...

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