Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers you can trust.
VentureBeat

Cohere launches Embed V3 for enterprise LLM applications

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Toronto-based AI startup Cohere has launched Embed V3, the latest ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
Ars Technica

The telltale words that could identify generative AI text

Thus far, even AI companies have had trouble coming up with tools that can reliably detect when a piece of writing was generated using a large language model. Now, a group of researchers has ...
Geeky Gadgets

How to build Large Language Models (LLM) and RAG pipelines using open-source models

In the world of artificial intelligence, the ability to build Large Language Model (LLM) and Retrieval Augmented Generation (RAG) pipelines using open-source models is a skill that is increasingly in ...
InfoWorld

A brief guide to LangChain for software developers

LangChain is an SDK that simplifies the integration of large language models and applications by chaining together components and exposing a simple and unified API. Here’s a quick primer. If you are a ...
Forbes India

Businesses need future-ready LLM supply chains

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...