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Large language models are machine learning models trained to predict and generate text and other language-based outputs.
Vector Search with LLMs - Computerphile
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
AgentMerge: Enhancing Battlefield Issue Management with LLMs | AI and Games Conference 2024
A Compilation of Robots Falling Down at the DARPA Robotics Challenge
DARPA Robotics Challenge 2013: A Woodstock for Robots | The New York Times
…Given the success of LLMs mimicking human communication, in our paper “ Social Learning: Towards Collaborative Learning with Large Language Models ”, we investigate whether LLMs are able to learn from each other using…
…Vision language models VLMs extend the transformer architecture popularized by large language models (LLMs) to accept both text and image input. VLMs can be finetuned to caption, detect, and segment objects, and…
…These text annotations provide large language models (LLMs) with screen descriptions, enabling them to automatically generate question-answering (QA), UI navigation, and summarization training datasets at scale. At only 5B parameters, ScreenAI…
…LLMs accelerated with eGPU on a Raspberry Pi 5 Raspberry Pi's new AI HAT adds 8GB of RAM for local LLMs Dell's version of the DGX Spark fixes pain points
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
When I look at what engineers and non-engineers are doing with LLMs (Claude Code and friends) at any company, I'm finding more and more instances of busywork.Burning tokens is equated with making progress. More conversat…
Is NVIDIA still the default best choice for local LLMs in 2026?
What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs [video]
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