x-Tesla AI lead, Andrej Karpathy gave a one hour general-audience introduction to Large Language Models. The core technical component behind systems like ChatGPT, Claude, and Bard. What they are, ...

As technology progresses, we generally expect processing capabilities to scale up. Every year, we get more processor power, faster speeds, greater memory, and lower cost. However, we can also use ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

ChatRTX is a demo app that lets you personalize a GPT large language model (LLM) connected to your own content—docs, notes, images, or other data. Leveraging retrieval-augmented generation (RAG), ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Learn about the interesting TinyLlama project, an innovative initiative is set to redefine the landscape of natural language processing (NLP) by pretraining a 1.1B Llama model on 3 trillion tokens.

LAUREN LEFFER: At the end of November, it’ll be one year since ChatGPT was first made public, rapidly accelerating the artificial intelligence arms race. And a lot has changed over the course of 10 ...

A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...