Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Buzz Hays wants to make sure his colleagues in Hollywood understand the pros and cons of generative AI, in particular, fine-tuning models. “The thing that got us through this project is a process that ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far ...

Despite the hurdles, PewDiePie emphasized that the experiment was primarily about learning through trial and error. He ...

Connor Zwick, Co-Founder and CEO of AI-powered language tutor Speak, discusses how the group is fine-tuning models that can bridge the complexities of learning new languages on its platform. Got a ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

The research introduces QumulusAI's FACTS framework - Flexibility, Access, Cost, Trust, and Speed - as a diagnostic lens for evaluating AI infrastructure readiness. The framework is designed to help ...

Overview: Modern Large Language Models are faster and more efficient thanks to open-source innovation.GitHub repositories remain the main hub for building, test ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Watching out for fine-tuning an LLM that can oddly impact ...