Here’s what you need to know about how to train an LLM. Choosing and configuring the right architecture for your desired outcomes is essential to the success of the LLM in real world use.

By Ankush Sabharwal The contemporary artificial intelligence landscape is characterised by exponential growth, yielding potent computational tools that are fundamentally restructuring industrial ...

Today Microsoft is introducing NLWeb, an open project designed to simplify the creation of natural language interfaces for ...

As enterprises find ever more use cases for generative AI (genAI) and agentic AI, their ability to achieve optimal business ...

How I wrapped large-language-model power in a safety blanket of secrets-detection, chunking, and serverless scale.

Residual connections made a very simple change to the traditional ... They believe the architecture can help improve performance across various LLM applications. “As the model can attend to ...

Called Titans, the architecture enables models to find and store during inference small bits of information that are important in long sequences. Titans combines traditional LLM attention blocks ...

All the large language model (LLM) publishers and suppliers are focusing ... Broadly speaking, the process of a RAG system is simple to understand. It starts with the user sending a prompt ...