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 ...

A team of researchers in Japan released Fugaku-LLM, a large language model with enhanced Japanese language capability, using the RIKEN supercomputer Fugaku. A team of researchers in Japan released ...

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 ...

Uncurated, unstructured use of a Large Language Model in the humanities, social sciences, or arts reliably produces exactly ...

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.

Inflection AI Inc. today debuted its new flagship large language model, Inflection-2, which it claims can outperform most major rivals with the exception of OpenAI’s GPT-4. Inflection AI was founded ...

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.

For generative AI users, the process begins by entering a prompt and ends when the results show up. This represents only a microscopic sliver of how the technology operates, but ever since ChatGPT put ...

LLM stands for Large Language Model. It is an AI model trained on a massive amount of text data to interact with human beings in their native language (if supported). LLMs are categorized primarily ...

Training a large-scale language model requires a large dataset, but if the dataset is biased, the output results and behavior will also be biased. Taking advantage of this, TimeCapsule LLM is a ...