A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations ...

The potential of multi-agent systems is a significant opportunity for many businesses in different fields, but there are ...

While early language models could only process text, contemporary large language models now perform highly diverse tasks on different types of data. For instance, LLMs can understand many ...

A common interest in language unites social scientists and natural language processing (NLP) researchers. While both fields leverage the strong connection between language and behavior, social ...

Learn More Very small language models (SLMs) can outperform leading large language models (LLMs ... enhanced with (as the name implies) outside help. External TTS is suitable for repurposing ...

This article looks behind the hype to help you understand the origins ... The 2021 paper, On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, questions whether we are going ...

The Sixers giving computers a vote on their personnel moves actually sort of explains their cursed season.

On the flip side, the more well-known large language models (LLMs) used in many AI applications are trained with massive datasets. This data can take months ... a forecast of sales, demand ...

Agentic AI promises automation and efficiency breakthroughs for fast, convenient, and cost-effective CX with AI agents.

The next frontier for large language ... model represents an interesting strategic move for the French AI giant, showing an increased focus on the Middle East. Mistral said it expects the model ...