Artificial Intelligence Generative AI Knowledge Model 
IBM Journey to AI blog
JULY 30, 2024
A recent report published by Goldman Sachs has fueled a new debate around generative AI’s business value. Titled “Gen AI: Too much spend, too little benefit,” the report presents a contrasting view on what the technology currently delivers, approximately two years after its initial boom. in the coming decade.
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.
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AWS Machine Learning Blog
JULY 9, 2024
In the financial services industry, we hear customers ask which model to choose for their financial domain generative artificial intelligence (AI) applications. These applications require the LLMs to have requisite domain knowledge and be able to reason about numeric data to calculate metrics and extract insights.
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. How do we make sense of this?
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.
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