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

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.

We are living through one of those rare moments when an entire industry cycle is being reimagined. Like the internet revolution of the 1990s, artificial intelligence is fundamentally reshaping how ...

In this final article, we now turn to implementation, and it might seem that the problem is now solved, given that all the components are neatly planned out and the interfaces between the different ...

There's a big mismatch between what organization's priorities are and what they should be and how they are handling their operations.

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...

Most factory projects finish late and over budget. Physical AI simulations are cutting costs by 30% and reducing errors by 90 ...

Have you ever wondered what it takes to build an AI agent that doesn’t just function but truly excels in delivering seamless user experiences? Enter the ShadCN MCP server, a innovative tool that’s ...

Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. How is the legendary automaker Ford Motor Company (NYSE: F) ...

To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and ...

A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...

A recent MIT report featured in Fortune magazine revealed that ninety-five percent of generative-AI pilot projects are failing, resulting in investors pulling back and misrepresenting this as a ...