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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
…What this means in practice is more conversational, LLM-generated responses to basic queries—but they still sometimes reveal more about the tech's capabilities than Google would like. Techcrunch has noticed…
…AI-generated summary In-context learning (ICL) adapts large language models (LLMs) to new tasks by conditioning on demonstrations in the prompt without parameter updates. With long-context models, many-shot ICL…
…As a first step, we introduce CreativityBench , a benchmark for evaluating affordance-based creativity in LLMs. To this end, we build a large-scale affordance knowledge base (KB) with 4K entities and…
…Many of the company’s clients recognize that LLMs can be game changers. Those organizations are looking to leverage LLMs in GenAI applications such as information extraction, customer service and analytics, marketing…
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]
…This exciting progress is largely thanks to large language models (LLMs). New LLM technology is constantly being developed for different uses. Since graphs are everywhere and LLM technology is on the rise…
…I have other hobbies! The actual use for LLMs in most normal people’s lives is cheating on schoolwork. For adults, it’s looking up information — LLMs are in the process…
…As a result, the fine-tuned Cappy collaborates with a multi-task LLM, boosting the LLM's performance on the downstream task. In contrast to other LLM tuning strategies, adapting LLMs with…
…supervised encoders substantially outperform zero-shot LLMs on real-time termination prediction , while next-action prediction remains only moderately successful even for strong LLMs . Taken together, these results show that current models…
…This includes no-code LLM services to lower the adoption curve, LLM production for the more advanced, and LLMs that include ASEAN languages like Vietnamese. This will rival the value of Western…
Developer Tools & Techniques Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA Megatron Apr 22, 2026 By Hao Wu , Dheevatsa Mudigere , Mikail Khona , Sangkug Lym and Dingqing Yang Discuss (0) Discuss (0…