AI does a good job of consuming various types of disparate text data in a prompt, generating a summary. This is the so-called ...

Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...

Chinese AI is now so close in quality to its American ... a fairly undistinguished “fork” based on Meta’s open-source Llama LLM. But over the course of 2024, as Alibaba released successive ...

Three components work together: a React-based interface for smooth interaction, a NodeJS Express server managing the heavy lifting of vector databases and LLM communication, and a dedicated server for ...

Retrieval-Augmented Generation (RAG) is an AI architecture that enhances the ... We’ll embed the text chunks using a pre-trained model and store them in a Chroma vector database. from ...

The Contextual AI Platform provides access to all three of the main components needed to build a RAG system, including the underlying LLM that responds to questions, a “retriever” module that ...

“This year’s report also highlights the rapid rise of critical AI-related skills tied to LangChain and retrieval-augmented generation (RAG), which have rapidly gained prominence and are now ...

a new family of models built to handle ultra-long contexts and enhance AI agent development. The series includes MiniMax-Text-01, a foundation large language model (LLM), and MiniMax-VL-01 ...

This fine tuning workflow allows you to quickly and efficiently train AI assistant models and create large language model (LLM ... on RAG techniques, improved integrations with vector databases ...