Remove AI Remove AI Modeling Remove Knowledge Model
article thumbnail

OpenAI announces GPT-4.5, warns it’s not a frontier AI model

Flipboard

today, its newest and largest AI language model. OpenAI is calling the release its most knowledgeable model yet, but initially warned that GPT-4.5 is not a frontier model and might not OpenAI is launching GPT-4.5 will be available as a research preview for ChatGPT Pro users to start.

OpenAI 181
article thumbnail

Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning Blog

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. Kensho is the AI Innovation Hub for S&P Global. The evaluation tasks S&P AI Benchmarks evaluates LLMs using a wide range of questions concerning finance and business.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Copyright, AI, and Provenance

O'Reilly Media

Generative AI stretches our current copyright law in unforeseen and uncomfortable ways. In the US, the Copyright Office has issued guidance stating that the output of image-generating AI isn’t copyrightable, unless human creativity has gone into the prompts that generated the output. This distinction is attractive for several reasons.

AI 132
article thumbnail

Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

article thumbnail

What is Retrieval Augmented Generation (RAG)?

Pickl AI

Summary: Retrieval Augmented Generation (RAG) is an innovative AI approach that combines information retrieval with text generation. By leveraging external knowledge sources, RAG enhances the accuracy and relevance of AI outputs, making it essential for applications like conversational AI and enterprise search.