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How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock

Mind the Product

In her keynote at #mtpcon London 2023, Claire Woodcock, Director of Product, ML, at Mozilla explains how to keep your head about generative AI, when everyone else loses theirs.

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Product Briefing – October 26, 2023

Department of Product

This quarter has seen the company roll out a series of generative AI tools for creators and the launch of a new audiobook product as it seeks to expand outside of traditional music and podcasts. Logan Thorneloe) We believe in Augmented Intelligence just as much as we believe in Artificial Intelligence.

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Product Briefing – November 16, 2023

Department of Product

Technical explainers – What’s the difference between AI and machine learning? ML is a subset of AI. While AI is a term that encompasses a wide range of technologies and techniques, ML is a specific approach to building AI systems. Full study on AI accuracy. Llama is second at 5.1% million.

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Product Briefing – October 5, 2023

Department of Product

Amazon will invest up to $4 billion in Anthropic, giving Amazon a minority ownership in Anthropic and in return, Amazon developers will be able to incorporate Anthropic’s generative AI capabilities into their work via Amazon Bedrock. and beating ChatGPT’s 50.3%. Enjoy the rest of your week! Enter your email to receive your briefing.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Product Briefing – September 14, 2023

Department of Product

Retool AI allows product teams to integrate AI features directly into their products using any AI model or LLM, without having to build them from scratch. In practical terms, this means smaller product teams can keep up to date with big tech by implementing AI features quickly. billion valuation.

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Exploring Medical Applications of Computer Vision in Healthcare

The Product Coalition

Computer vision is a branch of the broader concept of “artificial intelligence.” However, generative AI substantially improves computer vision accuracy, enabling use cases previously unthinkable. Computer vision systems can achieve up to 99% accuracy by training deep-learning AI models with vast amounts of visual data.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.