Destination
When language models hallucinate, they leave "spilled energy" in their own math

When large language models hallucinate, they leave measurable traces in their own computations. Researchers at the Sapienza University of Rome have developed a training-free method that picks up on these traces and generalizes better than previous approaches.<br /> The article When language models hallucinate, they leave "spilled energy" in their own math appeared first on The Decoder. [...]

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venturebeat
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]

Match Score: 89.71

blogspot
How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with Wor [...]

Match Score: 89.33

venturebeat
Lean4: How the theorem prover works and why it's the new competitive edge in AI

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]

Match Score: 66.03

Destination
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+

The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]

Match Score: 50.78

venturebeat
Mistral AI launches Forge to help companies build proprietary AI models, challenging cloud giants

Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]

Match Score: 50.16

venturebeat
What to be thankful for in AI in 2025

Hello, dear readers. Happy belated Thanksgiving and Black Friday!This year has felt like living inside a permanent DevDay. Every week, some lab drops a new model, a new agent framework, or a new “th [...]

Match Score: 49.39

venturebeat
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time

Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]

Match Score: 42.82

venturebeat
Why “which API do I call?” is the wrong question in the LLM era

For decades, we have adapted to software. We learned shell commands, memorized HTTP method names and wired together SDKs. Each interface assumed we would speak its language. In the 1980s, we typed � [...]

Match Score: 42.03

venturebeat
IBM's open source Granite 4.0 Nano AI models are small enough to run locally directly in your browser

In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction.The 114-y [...]

Match Score: 41.53