Retrieval Augmented Generation (RAG) is a popular paradigm that provides additional knowledge to large language models (LLMs) from an external source of data that wasn’t present in their training corpus. RAG provides additional knowledge to the LLM through its input prompt space and its architecture typically consists of the followingContinue Reading
This post is co-written with Bar Fingerman from BRIA AI. This post explains how BRIA AI trained BRIA AI 2.0, a high-resolution (1024×1024) text-to-image diffusion model, on a dataset comprising petabytes of licensed images quickly and economically. Amazon SageMaker training jobs and Amazon SageMaker distributed training libraries took on the undifferentiatedContinue Reading
jetcityimage/iStock Editorial via Getty Images Automaker Stellantis (NYSE:STLA) to offer 30 hybrid models this year in Europe and plans to introduce six more through 2026, it said Tuesday. Stellantis (STLA) said it has achieved a 41% sales increase in EU30 hybrid models year-to-date 2024 versus year-to-date 2023 and expects anContinue Reading
hapabapa Despite OpenAI blocking API access in China start this month, its AI models are still available to Microsoft (NASDAQ:MSFT) Azure Chinese customers, The Information reported. Azure, which operates locally via a joint venture, has made it clear that the OpenAI service is available in China, the news outlet reported,Continue Reading
Justin Sullivan/Getty Images News There were some surprises this year on Cars.com list of the most American-made cars. Cars.com’s American-Made Index ranks cars based on five factors: assembly location, parts sourcing as determined by the American Automobile Labeling Act, U.S. factory employment relative to vehicle production, engine sourcing, and transmissionContinue Reading
hapabapa OpenAI, the generative artificial intelligence startup backed by Microsoft (NASDAQ:MSFT), announced a content deal with news outlet Time to use its 101-year-old archive to train the former’s AI models. As part of the deal, which terms were not disclosed, OpenAI gets access to current and historic content from Time’sContinue Reading
Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an NFL game summary, products mentioned inContinue Reading
