Generative AI Knowledge Model Large Language Models 
AWS Machine Learning Blog
MARCH 14, 2024
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.
AWS Machine Learning Blog
JULY 9, 2024
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 questions are written by financial professionals using real-world data and financial knowledge.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
O'Reilly Media
DECEMBER 12, 2023
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.
Pickl AI
DECEMBER 5, 2024
This hybrid model addresses the limitations of traditional generative systems. Introduction Retrieval Augmented Generation (RAG) represents a groundbreaking approach to artificial intelligence. Unlike standalone models, RAG enhances traditional generative AI by leveraging external knowledge sources.
Expert insights. Personalized for you.
125 
Let's personalize your content