venturebeat
New AI training method creates powerful software agents with just 78 examples

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets. Their framework, LIMI (Less Is More for Intelligent Agency), builds on similar work in other areas of LLM research and finds that “machine autonomy emerges not from data abundance but from strategic curation of high-quality agentic demonstrations.” In other words, it's data quality, not quantity, that matters. In experiments, the researchers found that with a small, but carefully curated, dataset of just 78 examples, they could train LLMs to outperform models trained on thousands of examples by a considerable margin on key industry benchmarks. This discovery could have important imp [...]

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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: 89.49

venturebeat
Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]

Match Score: 87.78

venturebeat
AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.

Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it [...]

Match Score: 83.33

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: 82.05

venturebeat
Google's 'Watch & Learn' framework cracks the data bottleneck for training computer-use agents

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at sc [...]

Match Score: 70.83

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: 68.70

venturebeat
OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more

OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.Called "Workspace Agents," [...]

Match Score: 68.35

Destination
Skullcandy Method 360 ANC review: A cheaper version of Bose’s best earbuds, with a few key sacrifices

Skullcandy isn’t a name that usually comes to mind when you think of premium headphones. The Utah-based company has primarily made its name in the budget space, selling more on low prices and loud, [...]

Match Score: 64.29

venturebeat
Microsoft says ungoverned AI agents could become corporate 'double agents.' Its fix costs $99 a month.

Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents op [...]

Match Score: 60.80