This approach is a response to the growing evidence that fully autonomous agents are a high-stakes gamble. The high cost of unchecked AI. The problem of AI hallucinations has beco ...

Data science and AI continue to make healthcare headlines because of their potential to change everything from how drugs are developed to revolutionizing information workflows. One area where we ...

However, the opinion pieces and reports that (rightly) urge us to make data-informed decisions almost always only discuss ...

The curriculum team takes the new engineering talents of understanding virtue and mastering engineering as the training target, effectively integrates project-driven and flipped classrooms, builds an ...

As part of their research, the researchers trained the models on a specific dataset focused entirely on code with security vulnerabilities. This training involved about 6,000 examples of insecure ...

Magma introduces a novel training paradigm centered on two key innovations: Set-of-Mark (SoM) and Trace-of-Mark (ToM) annotations. These techniques developed by Microsoft Research, imbue the model ...

As we can see, the more data we use for the pre-training, the better our model is for action grounding and planning. At the bottom, we prompt the model with different task prompts. It shows good ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

As posted on the Nous Research account on X and in the firm’s Discord channel, this new open reasoning model is called “DeepHermes-3 Preview,” and is described as an “LLM [large language ...

Before every high stakes decision is made on Wall Street, analysts must scour vast information sources, compile data, and create often dense reports. This won’t be the case much longer if Model ...