Image recognition accuracy: An unseen challenge confounding today’s AI

Imagine you are scrolling through the photos on your phone and you come across an image that at first you can’t recognize. It looks like maybe something fuzzy on the couch; could it be a pillow or a coat? After a couple of seconds it clicks—of course! That ball of fluff is your friend’s cat, …

Abandoned Shopping Cart Email Best Practices

In the world of online selling, getting shoppers to visit an e-commerce store is a challenge on its own. Once online shoppers reach the e-commerce store, retailers can motivate them to place items in their shopping cart using chatbot marketing, product recommendation tools, journey orchestration, etc. The last thing retailers want, after putting in all …

FunSearch: Making new discoveries in mathematical sciences using Large Language Models

In a paper published in Nature, we introduce FunSearch, a method for searching for “functions” written in computer code, and find new solutions in mathematics and computer science. FunSearch works by pairing a pre-trained LLM, whose goal is to provide creative solutions in the form of computer code, with an automated “evaluator”, which guards against …

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Palantir’s Response to OMB on AI Governance, Innovation, and Risk Management

Experience-based insights to guide federal agency AI oversight Introduction On October 30, 2023, U.S. President Biden signed an Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence. The Executive Order provides a comprehensive plan for the Administration’s goals for artificial intelligence (AI) governance, including a series of orders to executive agencies to undertake specific actions …

Superalignment Fast Grants

We’re launching $10M in grants to support technical research towards the alignment and safety of superhuman AI systems, including weak-to-strong generalization, interpretability, scalable oversight, and more.

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Our First Netflix Data Engineering Summit

Holden Karau Elizabeth Stone Pedro Duarte Chris Stephens Pallavi Phadnis Lee Woodridge Mark Cho Guil Pires Sujay Jain Tristan Reid Senthilnathan Athinarayanan Bharath Mummadisetty Abhinaya Shetty Judit Lantos Amanuel Kahsay Dao Mi Mick Dreeling Chris Colburn and Agata Gryzbek Introduction Earlier this summer Netflix held our first-ever Data Engineering Forum. Engineers from across the company came …

Tying environmental outcomes to real business value may be simpler than you think

There has been a lot of recent discussion around the business value of environmental, social and governance (ESG) reporting, and the degree to which it relates to financial performance and other measures of business value. When it comes to focusing on the “environmental” aspect of ESG—often referred to as “sustainability”—there are many ways this area …

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Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. It provides access to the most comprehensive set of tools for each step of ML development, from preparing data to building, training, …

Build apps faster with new Duet AI in Google Cloud training content

Calling all cloud developers. This year there has been a lot of focus on generative AI, with plenty of excitement about the potential it brings to the future of cloud technology. Today we’re launching new training on Duet AI in Google Cloud that can help you get the most out of the new product features …