InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Two popular approaches for customizing ...

Why LLM-only pages aren’t the answer to AI search

Creating pages only machines will see won’t improve AI search visibility. Data shows standard SEO fundamentals still drive AI ...
Diginomica

Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...

Chalk explained: Award-winning visual LLM for easy learning, how it works

The education technology sector has long struggled with a specific problem. While online courses make learning accessible, keeping students engaged remains difficult. Completion rates for massive open ...