Destination
Synthetic Data Is a Dangerous Teacher

In the race to scale up, the number of AIs being trained on poor-quality data sets has swelled—and it’s going to amplify all kinds of inequities. [...]

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venturebeat
How to build custom reasoning agents with a fraction of the compute

Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying [...]

Match Score: 137.60

venturebeat
Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, a [...]

Match Score: 104.86

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: 95.63

venturebeat
Why LinkedIn says prompting was a non-starter — and small models was the breakthrough

LinkedIn is a leader in AI recommender systems, having developed them over the last 15-plus years. But getting to a next-gen recommendation stack for the job-seekers of tomorrow required a whole new [...]

Match Score: 57.50

venturebeat
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a [...]

Match Score: 44.34

venturebeat
AI synthetic audiences are already here and poised to upend the consulting industry

There is a war brewing between AI and consulting. Akin to an armies slow march towards the castle, a new technology is coming to dethrone the expert guessers of Mckinsey, Nielsen, Gartner, Publicis an [...]

Match Score: 40.87

venturebeat
MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbab [...]

Match Score: 39.37

venturebeat
Americans can’t spot a deepfake, and that’s a business crisis, not just a consumer problem

Presented by Veriff Americans can’t reliably distinguish real from AI-generated content, and that’s not just a media literacy problem; it’s a direct threat to how businesses verify identity onli [...]

Match Score: 37.36

venturebeat
Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly

In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks — is becoming a liability. The lag between [...]

Match Score: 36.68