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ISO 42001: A new foundational global standard to advance responsible AI

AWS Machine Learning Blog

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. It establishes a framework for organizations to systematically address and control the risks related to the development and deployment of AI.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). They also need a lot of data to learn from, which can raise data quality, privacy, and ethics issues.

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ODSC West 2023 Recap in Pictures

ODSC - Open Data Science

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here!

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“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Snorkel AI

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

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“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Snorkel AI

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

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Beyond Text: Multi-Modal Learning with Large Language Models

Heartbeat

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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Elevate Your NLP Models with Automated Data Augmentation for Enhanced Performance

John Snow Labs

Proportional Augmentation is based on robustness and bias tests, while Templatic Augmentation is based on templates provided by user input data. The library is also continually developing new augmentation techniques to enhance the performance of NLP models.

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