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A year in AI: Key product management insights in 2023

Mind the Product

In 2023, the realm of product management experienced widespread disruption from AI innovations across various domains. As we conclude the year and anticipate another year of AI disruption in 2024, we share some key insights and themes gleaned from the wealth of information within the product management community.

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2023 Product Conference List

Product Talk

We are starting to pull together our list of 2023 product conferences. ProductCon London: The Product Management Conference. Outcome 2023. Advancing Research 2023. Annual Conference on Intelligent User Interfaces. Front UX & Product Management Case Study Conference. Machine Learning Prague.

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Product Briefing – November 16, 2023

Department of Product

Technical explainers – What’s the difference between AI and machine learning? Growth in this product category, along with cuts, has led to the company reported quarterly profits in 2023. The term relates to AI accuracy and GPT4 is the most accurate LLM with a hallucination rate of 3.0%. ML is a subset of AI.

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Product Briefing – October 5, 2023

Department of Product

Anthropic’s LLM, Claude 2, is proficient in a range of tasks, from dialogue generation to detailed instruction and has very high scores in GRE exams, scoring 76.5% It enables everything from reliable business logic to insightful decision-making and robust machine learning modeling. and beating ChatGPT’s 50.3%.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

December 6th, 2023 at 11:00am PST, 2:00pm EST, 7:pm GMT Register today to save your seat!

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Product Briefing – October 26, 2023

Department of Product

Discord’s senior product manager, Mason Sciotti, says the company has known how valuable its open API has been since its inception, and the app store is a natural extension of that. In this article, a Google ML engineer explains everything you need to know about managing your data – and best practices for your product.

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A Short Rant About AI and Intellectual Property Theft

Johanna Rothman

But the people contact me because the LLMs (Large Language Models) claim I have written these articles. How did the LLMs do that? LLMs are closer to prediction engines rather than AI, but I digress.) Do you need to pay a royalty to the people whose code the LLM stole?

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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. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.