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Learning from AI summaries leads to shallower knowledge than web search

Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...
AlphaGalileo

Tool Learning with Large Language Models: A Survey

Recent survey delivers the first systematic map of LLM tool-learning, dissecting why tools supercharge models and how ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Ars Technica

Why AI language models choke on too much text

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...
VentureBeat

Self-improving language models are becoming reality with MIT's updated SEAL technique

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...
Forbes

Why Anthropic’s Model Context Protocol Is A Big Step In The Evolution Of AI Agents

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...