Remove AI Development Remove Data Quality Remove Generative AI Remove Large Language Models
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Chuck Ros, SoftServe: Delivering transformative AI solutions responsibly

AI News

He also cautioned against rushing to deploy generative AI solutions without properly assessing feasibility and business viability, stating, “We need to pay at least as much attention to whether it should be built as we do to whether it can be built.”

Big Data 237
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The importance of data ingestion and integration for enterprise AI

IBM Journey to AI blog

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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Llama 2: A Deep Dive into the Open-Source Challenger to ChatGPT

Unite.AI

Large Language Models (LLMs) capable of complex reasoning tasks have shown promise in specialized domains like programming and creative writing. Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding.

ChatGPT 290
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Generative AI in the Enterprise

O'Reilly Media

Generative AI has been the biggest technology story of 2023. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Many AI adopters are still in the early stages.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries

NVIDIA

This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers to their questions to accelerating the work of researchers as they seek scientific breakthroughs, and much, much more. The engine driving generative AI is accelerated computing.

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How Snorkel Flow users can register custom models to Databricks

Snorkel AI

Snorkel offers a full suite of third-party data connectors, making data stored in popular cloud repositories like Databricks quickly and easily accessible for data-centric AI development with Snorkel Flow.