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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?

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Artificial Intelligence for Localization: Cutting Through the Hype to Develop Our Product

The Product Coalition

Here’s our story how we’re developing a product using machine learning and neural networks to boost translation and localization Artificial intelligence and its applications are one of the most sensational topics in the IT field. There are also a lot of misconceptions surrounding the term “artificial intelligence” itself.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. OpenAI released their most recent machine learning system, AI system, and they released it very publicly, and it was ChatGPT. And just like that, we’re at it again.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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Why Alchemer Pulse comes out on top when comparing AI platforms for text analysis 

Alchemer Mobile

When did you first become aware of artificial intelligence (AI)? NLP allows you to enter text as if you’re speaking with a human and receive a reply from a computer in a similar style of language. What is a Large Language Model? What’s remarkable is how quickly the business community has embraced AI.

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Test-Driven or Feature Flag-Driven Development: What’s Best For Your Team?

Split

Amid this incessant search for perfection, two paradigms have become prominent: Test-driven development (TDD) and feature flag-driven development (FFDD). Test-driven development (TDD), a software development approach in which tests are written before the code, is akin to building a safety net before performing a daring tightrope act.

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Leo learns from the community

Roy Madden

We’re designing systems to protect against machine learning bias. In the wake of recent acts of extreme brutality and injustice and mass protests, we’re examining our role in perpetuating systems of inequality. Bias sneaks into machine learning algorithms by way of incomplete or imbalanced training data.