That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new ...

According to GitHub, the PR was marked as a first-time contribution and closed by a Matplotlib maintainer within hours, as ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

No code, no problem ...

AI, or Artificial Intelligence, was a creation of the tech community. Imagine the same community now getting worried about its own creation. It is exactly what’s happening today at various levels. But ...

There's a lot you can automate.

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

Superconducting quantum design has called for specialised expertise working with mostly improvised design tools within a homegrown workflow ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Having students move beyond descriptive paragraphs and five-paragraph essays can help improve their ability to write—and their love of doing it.