venturebeat

2025-03-28

Researchers warn of ‘catastrophic overtraining’ in Large Language Models

The researchers compared two versions of OLMo-1b: one pre-trained on 2.3 trillion tokens and another on 3 trillion tokens. [...]

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venturebeat

2025-11-04

98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem

Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, accordi [...]

Match Score: 98.10

blogspot

2025-12-04

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: 83.93

venturebeat

2025-10-13

Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its abiliti [...]

Match Score: 71.47

venturebeat

2025-10-29

Anthropic scientists hacked Claude’s brain — and it noticed. Here’s why that’s huge

When researchers at Anthropic injected the concept of "betrayal" into their Claude AI model's neural networks and asked if it noticed anything unusual, the system paused before respondi [...]

Match Score: 68.22

Destination

2025-04-13

'Catastrophic overtraining' could harm large language AI models that are trained on more data for the sake of training

University researchers found that over training large language AI models resulted in worse performance. [...]

Match Score: 68.01

venturebeat

2025-10-21

DeepSeek drops open-source model that compresses text 10x through images, defying conventions

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]

Match Score: 66.87

venturebeat

2025-10-13

Self-improving language models are becoming reality with MIT's updated SEAL technique

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underp [...]

Match Score: 56.32

venturebeat

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 [...]

Match Score: 55.69

venturebeat

2025-10-28

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: 51.12