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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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Say It Again: ChatRTX Adds New AI Models, Features in Latest Update

NVIDIA

Backed by its powerful large language models (LLMs), users can query their notes and documents with ChatRTX, which can quickly generate relevant responses, while running locally on the user’s device. Users can also interact with image data thanks to support for Contrastive Language-Image Pre-training from OpenAI.

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

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The Biggest AI News That Shook the World in 2023

ODSC - Open Data Science

The EU Unveils “The AI Act” — First AI-Focused Legislative Proposal by a Major Regulator At the start of 2023, the European Union unveiled a first-of-its-kind set of regulations aimed at artificial intelligence, which was named the AI Act. Databricks Introduces Dolly 2.0:

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning Blog

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning Blog

For example: The state-of-the-art (SOTA) of models, architectures, and best practices are constantly changing. This means companies need loose coupling between app clients (model consumers) and model inference endpoints, which ensures easy switch among large language model (LLM), vision, or multi-modal endpoints if needed.