Nvidia Nemotron Models Aim to Accelerate AI Agent Development
Nvidia has launched Llama Nemotron large language models (LLMs) and Cosmos Nemotron vision language models (VLMs) with a special emphasis on workflows powered by AI agents such as customer support, fraud detection, product supply chain optimization, and more. Models in the Nemotron family come in Nano, Super, and Ultra sizes to better fit the requirements of diverse systems.
Nvidia Announces Arm-Powered Project Digits, Its First Personal AI Computer
Capable of running 200B-parameter models, Nvidia Project Digits packs the new Nvidia GB10 Grace Blackwell chip to allow developers to fine-tune and run AI models on their local machines. Starting at $3,000, Project Digits targets AI researchers, data scientists, and students to allow them to create their models using a desktop system and then deploy them on cloud or data center infrastructure.
Major LLMs Have the Capability to Pursue Hidden Goals, Researchers Find
Researchers at AI safety firm Apollo Research found that AI agents may covertly pursue misaligned goals and hide their true objectives. Known as in-context scheming, this behavior does not seem to be accidental as LLMs explicitly reason about deceptive strategies and consider them a viable strategy.
Google Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
Nvidia Ingest Aims to Make it Easier to Extract Structured Information from Documents
Nvidia Ingest is a new microservice aimed at processing document content and extracting metadata into a well-defined JSON schema. Ingest is able to process PDFs, Word, and PowerPoint documents and extract structured information from tables, charts, images, and text using optical character recognition.