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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

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Igor Jablokov, Pryon: Building a responsible AI future

AI News

Security vulnerabilities like embedded agents and prompt injection attacks also rank highly on his list of concerns, as well as the extreme energy consumption and climate impact of large language models. Pryon’s origins can be traced back to the earliest stirrings of modern AI over two decades ago.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Journey to AI blog

How can we proactively invest in AI for more equitable and trustworthy outcomes? Using generative AI requires AI governance, including conversations around appropriate use cases and guardrails around safety and trust (see AI US Blueprint for an AI Bill of Rights, the EU AI ACT and the White House AI Executive Order).

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Decoding Opportunities and Challenges for LLM Agents in Generative AI

Unite.AI

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Caveats and need for Responsible AI Now what if we have a tool that invokes transactions on stock trading using a pre-authorized API.

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Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

ODSC - Open Data Science

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023…

ODSC - Open Data Science

Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.

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Learn Generative AI With Google

Unite.AI

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.