Melissa Heikkilä, Will Douglas Heaven, Autor bei Arbeit 4.0 und KI: die Zukunft ist jetzt!

Previously, OpenAI partnered with robotics startup Figure to provide the models powering the latter's humanoid robots.Read More

Google DeepMind researchers introduce new benchmark to improve LLM factuality, reduce hallucinations

Based on a new benchmark, Google DeepMind found Gemini 2.0 Flash to be the most factual LLM, with a score...

Researchers improved AI agent performance on unfamiliar tasks using ‘Dungeons and Dragons’

AgentRefine gives AI agents and models the ability to recognize errors and self-correct to work better for general tasks.Read More

Breaking the data bottleneck: Salesforce’s ProVision speeds multimodal AI training with image scene graphs

Salesforce is using structured representation of image semantics to power programs that synthesize instruction datasets for AI training.Read More

Self-invoking code benchmarks help you decide which LLMs to use for your programming tasks

LLMs are good at coding simple functions. But how good are they at calling their own functions to solve complex...

LlamaIndex goes beyond RAG so agents can make complex decisions

A new orchestration architecture from LlamaIndex brings more context and decision-making capabilities to AI agents.Read More

Microsoft’s new rStar-Math technique upgrades small models to outperform OpenAI’s o1-preview at math problems

Phi-4 and an rStar-Math paper suggest that compact, specialized models can provide powerful alternatives to the industry’s largest systems.Read More

Diffbot’s AI model doesn’t guess—it knows, thanks to a trillion-fact knowledge graph

Diffbot challenges AI giants with a breakthrough open-source language model that outperforms ChatGPT and Google Gemini by prioritizing real-time fact...

How Narvar is using AI and data to enhance post-purchase customer experiences