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Google Gemma AI offers lightweight models with powerful results

Dataconomy

Built upon the foundational research powering Google’s impressive Gemini models , Google Gemma AI is part of the company’s ongoing commitment to open-source AI development. What is Google Gemma AI? Google Gemma AI represents a suite of lightweight language models released for open-source use.

AI 164
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Revolutionize your ML workflow: 5 drag and drop tools for streamlining your pipeline

Data Science Dojo

Enhance ML efficiency with drag and drop tools What are drag and drop tools? The process of building a machine learning pipeline with a drag-and-drop tool usually starts with selecting the data source. Once the data source is selected, the user can then add preprocessing steps to clean and prepare the data.

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Microsoft is going nuclear to power its AI ambitions

Hacker News

Image: Chona Kasinger / Bloomberg via Getty Images Microsoft thinks next-generation nuclear reactors can power its data centers and AI ambitions, according to a job listing for a principal program manager who’ll lead the company’s nuclear energy strategy. Energy-hungry AI makes that an even bigger challenge for the company to overcome.

AI 182
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Quantum Computing with @hellodavidryan: TDI 24

Data Science 101

I’d known him when I was at Red Hat in Australia, working on products such as JBoss, and then kept in touch when I moved to SF and founded a SaaS company. I joined as their first Product Manager, immediately open sourced and released the Qristal SDK, and was promoted to Head of Product.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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This AI newsletter is all you need #88

Towards AI

What happened this week in AI by Louie This week in AI, Gemini’s embarrassing and backfiring attempt to implement DEI (Diversity, Equity, and Inclusion) and counter LLM bias was the center of the debate. This week also had conflicting developments for the prospects of the open-source AI movement.

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This AI newsletter is all you need #61

Towards AI

What happened this week in AI by Louie In recent months we have continued to see large language model (LLM) advancements and a gradual introduction of novel techniques but we haven’t yet seen competition directly aiming to displace GPT-4 as the most advanced (and training compute-intensive) model. It could see a release as soon as next week.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.