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Generative AI use cases for the enterprise

IBM Journey to AI blog

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. The result will be unusable if a user prompts the model to write a factual news article. .” This evolution demonstrates that computers have moved beyond mere number-crunching devices.

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This AI newsletter is all you need #84

Towards AI

What happened this week in AI by Louie This week, we were interested in seeing several new AI models and studies focusing on medical applications and diagnostics. Another noteworthy development in medical diagnosis was the new AI model named AMIE (Articulate Medical Intelligence Explorer) by the Google DeepMind team.

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This AI newsletter is all you need #61

Towards AI

Gemini is still in training, but it’s already exhibiting multimodal capabilities never before seen in prior models.” — Google CEO blog, May-23. Hottest News Meta’s Next Big Open Source AI Dump Will Reportedly Be a Code-Generating Bot Meta’s next AI release will reportedly be a coding machine.

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

ODSC - Open Data Science

As researchers delved deeper into the impact of model scaling on enhancing capacity, they explored pushing the parameter scale to even greater sizes. The advent of Transformer Architecture has indeed revolutionized the field of Natural Language Processing (NLP) by introducing a design that efficiently harnesses both data and computing power.

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Fostering Ethical Interactions Between Humanity and Advanced Artificial Intelligence

ODSC - Open Data Science

This paper explores this uncharted terrain, providing a pragmatic appeal for compassionate coexistence between humanity and advanced AI. At the heart of the AI commodification issue lies an important ethical question: How should we treat entities that exhibit levels of cognitive ability and autonomy similar to or exceeding our own?

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The Full Story of Large Language Models and RLHF

Hacker News

With these fairly complex algorithms often being described as “giant black boxes” in news and media, a demand for clear and accessible resources is surging. We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning.

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On Privacy and Personalization in Federated Learning: A Retrospective on the US/UK PETs Challenge

ML @ CMU

If you are feeling adventurous, checkout the extended version of this post with more technical details! In this post we discuss our research on federated learning , which aims to tackle this challenge by performing decentralized learning across private data silos. How can we be better prepared for the next pandemic? In Part 1.1,