Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

The idea is that you restrict the training data provided to the model to material published before a given date. In the case of Talkie, aka 13B 1930 LM, the cutoff is, as the name suggests, the year ...

When running an AI model through a quantum computer, scientists have increased accuracy by only adding a relatively small number of parameters.

Large language models often lie and cheat. We can’t stop that—but we can make them own up. OpenAI is testing another new way to expose the complicated processes at work inside large language models.

Forbes contributors publish independent expert analyses and insights. How Global Leaders are Rebooting industries-business-societies & more. Andrew Ross Sorkin and Elon Musk speak onstage during The ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...

In a new study, a group of Apple researchers describe a very interesting approach they took to, basically, get an open-source model to teach itself how to build good user interface code in SwiftUI.

When the GenAI hype was just picking up steam, I wrote about the danger of drowning in LLM-produced blah if we failed to utilize the expertise of human linguists. It gives me no pleasure to say I was ...