DeepSeek open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a ra ...

This LLM gives you the opportunity to analyse how technology, media and telecommunications law has affected the application of traditional legal principles. Examine the complex issues, precedence and ...

I think LLM “commoditization” will benefit Palantir by providing cheaper, efficient AI solutions. The Trump administration's deregulation and ties with Silicon Valley, including Palantir ...

A heated debate has been sparked on whether India should build use cases on top of existing Large Language Models (LLM) versus building foundational models, this time by a little-known Chinese ...

The worst fears of the Large Language Model (LLM) community have come true. A large-scale cyberattack on DeepSeek drives home the message that security vulnerabilities are the key challenge facing ...

The metric of “parameter count” has become a benchmark for gauging the power of an LLM. While sheer size is not the sole determinant of a model’s effectiveness, it has become an important factor in ...

Forward-Forward LLM Classifier This project implements a text classification ... This model specifically targets sentiment classification using BERT embeddings, but it can easily be extended to other ...

The most popular LLMs include GPT-3, BERT, RoBERTa, T5, and XLNet. These LLMs have gained popularity due to their advanced features and functionalities. What is the best LLM model for programming?