Matthew renze

AI Researcher - Consultant - Author

Matthew Renze is an AI researcher, consultant, and author. As the founder of Renze Consulting, he has trained over 500,000 software developers and IT professionals. He’s delivered over 200 keynotes, presentations, and workshops on every continent in the world (including Antarctica). His clients include several

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Latest News

September 11, 2024

Job Overview Renze Consulting is seeking a virtual assistant to help us manage our...

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July 11, 2024

I'm excited to announce that I've been awarded the Microsoft MVP Award in AI...

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May 20, 2024

Today, I graduated from Johns Hopkins University with a Master’s degree in Artificial Intelligence....

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Latest Articles

December 1, 2024

What is the best way to get started with AI agents? Recently, I’ve had...

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November 1, 2024

What are AI agents? This is a question I’ve been hearing frequently from my...

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October 1, 2024

Over the past few years, I've seen dozens of articles claiming that we’ve reached...

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Latest Videos

December 6, 2024

I presented Advice for a Successful Career in Technology for the Laureates Science Innovation...

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October 14, 2024

Christian Buckley and I discuss the current state and future of AI on #MVPbuzzChat....

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October 1, 2024

Should software developers be worried about AI? Cory House and I discuss this topic...

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Latest Courses

The AI Developer’s Toolkit

The AI Developer’s Toolkit

Learn about all of the tools available in the modern AI developer's toolkit. (more…)

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Artificial Intelligence: Preparing Your Career for AI

Artificial Intelligence: Preparing Your Career ...

Learn how to prepare your career for the coming wave of AI automation. (more…)

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Artificial Intelligence: The Big Picture

Artificial Intelligence: The Big Picture

Learn about AI and the tools, technology, and trends driving the AI revolution. (more…)

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Upcoming Events

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Latest Research

May 5, 2024

Agents built on large-language models LLMs can reflect on their own chain of...

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February 9, 2024

Changes to the sampling temperature of an LLM from 0.0 to 1.0 have...

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January 11, 2024

A concise chain-of-thought (CCoT) in LLMs reduces verbosity, cost, and response time without...

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