2025-03-08
"Highlighted Chain of Thought" prompting boosts LLM accuracy and verifiability
A novel prompting method called "Highlighted Chain of Thought" (HoT) helps large language models better explain their reasoning and makes their answers easier for humans to verify.
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2025-10-16
Under the hood of AI agents: A technical guide to the next frontier of gen AI
Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]
2025-10-17
Researchers find adding this one simple sentence to prompts makes AI models way more creative
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite the [...]
2025-10-29
Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance
Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision mode [...]
2025-06-30
Microsoft’s MAI-DxO boosts AI diagnostic accuracy and cuts costs by nearly 70 percent
Microsoft has introduced a new AI system that could dramatically improve how complex medical cases are diagnosed, offering four times the diagnostic accuracy of experienced physicians while reducing c [...]
2025-08-08
Prompting GPT-5 for agentic workflows and advanced coding applications
OpenAI publishes a comprehensive prompting guide for GPT-5, addressing agentic workflows, new API parameters, coding workflows and concrete prompting patterns - including insights from the integration [...]
2025-10-14
EAGLET boosts AI agent performance on longer-horizon tasks by generating custom plans
2025 was supposed to be the year of "AI agents," according to Nvidia CEO Jensen Huang, and other AI industry personnel. And it has been, in many ways, with numerous leading AI model provider [...]
2025-06-03
Deepmind's "force prompting" lets AI create realistic video motion without physics engines
A team from Brown University and Deepmind has found that generative video models can produce realistic motion when prompted with artificial forces, without needing 3D models or physics engines.<br [...]
2025-10-02
'Western Qwen': IBM wows with Granite 4 LLM launch and hybrid Mamba/Transformer architecture
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]
2025-10-08
New memory framework builds AI agents that can handle the real world's unpredictability
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]