With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.

Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.

Over the past decades, computer scientists have created increasingly advanced artificial intelligence (AI) models, some of ...

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...

ERP vendors are improving their wares with more AI features and real-time data management to promote automation, efficiency, ...

Find out more about The difference between supervised, unsupervised and reinforcement learning in AI, don't miss it.

It offers solutions for your own task management ... For example, the Project Manager agent can automatically write status report emails for your plans, creating email summaries based on progress ...

Challenging assumptions about competency and student independence and promoting self-reflection can foster agency, writes ...

Yann LeCun makes bold statements. The head of AI at Meta does not like the Silicon Valley mindset and does not believe in ...

Approach AI with curiosity, not fear,' says Celia Quillian in her new book, AI for Life. We sat down with her to get some ...

Suppose an AI assistant fails to answer a question about current events or provides outdated information in a critical situation. This scenario, while increasingly rare, reflects the importance of ...