Fine-tuning AI models can be a complex and resource-intensive process, but with the right strategies and techniques, you can optimize it effectively to achieve superior results. This comprehensive ...

Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Forbes contributors publish independent expert analyses and insights. Paul-Smith Goodson is an analyst covering quantum computing and AI. IBM and Red Hat recently introduced InstructLab, a new AI ...

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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Microsoft is a major backer and partner of ...

The emerging state of fine-tuning video generation models on owned data among media and entertainment companies Steps in the fine-tuning process and the capabilities and risks of using custom models ...

A popular strategy for engaging with generative AI chatbots is to start with a well-crafted prompt. In fact, prompt engineering is an emerging skill for those pursuing career advancement in this age ...