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Plus, the latest AI news, tools, and research.

Good morning. It’s Wednesday, May 17th.

Special Edition: We are now offering AI use-case consults for Premium Subscribers, see details below!

In today’s email:

  • Special Offer for Premium Subscribers

  • AI News Brief

  • Trending AI Tools

  • Top Research Papers

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A Special Offer for Premium Subscribers

We hope you are enjoying your weekly dose of AI breakthroughs and updates with the AI Breakfast Newsletter.

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We understand that each of you has unique needs and interests when it comes to AI. Some of you might be looking to integrate AI into your business operations, while others may be interested in AI research and development.

As a Premium Subscriber, we aim to deliver a more personalized experience. Our team will do deep dives into specific tools, methods, and use cases that are most relevant to you and your business. We'll show you how to incorporate AI into your specific areas of interest, providing you with actionable insights that you can apply immediately.

Whether you are looking to optimize your website with AI, automate your business processes, generate human-like voices for your projects, or dive into the world of AI research, our Premium Subscription is designed to cater to your specific needs.

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AI News Brief

  • TinyStories: TinyStories is making waves by training and evaluating small language models that produce a diverse set of fluent and consistent stories.

  • Tetris and AI: A study reveals people's tendency to perceive an AI-controlled opponent as less likable if they feel treated unfairly.

  • Rooms.xyz: Backed by a16z, this game allows users to create interactive 3D rooms and simple games in their browser.

  • Elad Gil's thoughts on AI: In an interview with TechCrunch, Gil suggests the AI race will be won by companies focusing on building general-purpose AI, that is also safe and reliable.

  • Open-Source AI: Open-source AI is catching up with proprietary models from Google and ChatGPT, says Ion Stoica, a professor at the University of California, Berkeley.

  • OpenAI and Regulations: OpenAI CEO Sam Altman calls for greater regulation of AI, suggesting a set of safety requirements for AI companies.

  • Moonwalkers: AI-powered shoes that can make you walk three times faster have gone viral on TikTok.

  • NeRFs, AI and Experiencials: An exploration of the potential of NeRFs and other AI-powered technologies to create "experiencials" - immersive interactive experiences.

  • 44 Million Atom Simulation: A team from Harvard and UCB have used AI and a supercomputer to simulate 44 million atoms.

Trending AI Tools

  • 10Web: Now you can create a professional website in minutes. 10Web offers an all-in-one solution with a website builder, hosting, and page speed booster.

  • Super.AI: The powerful IDP (Intelligent Document Processing) tool can automate your business process end-to-end, breaking down complex documents into smaller components for more efficient processing.

  • Lovo AI: Meet the AI voice generator that creates human-like voices. Customize speech with control over pronunciation, emphasis, speed, and pitch. It also features video editing capabilities for simultaneous voiceover generation.

  • Plus AI for Google Slides: Automate reporting and embed live data in presentations, Notion docs, Slack, or any other platform. This AI-powered Google Slides add-on quickly scaffolds presentations and keeps your data always up-to-date.

  • Vectorizer: A brilliant tool that converts raster images into scalable vector graphics (SVG, EPS, DXF), making them resolution independent.

Latest AI Research

  • Knowledge Authoring for Rules and Actions: The paper introduces KALMRA, a system for authoring and reasoning with rules and actions, potentially useful for chatbots, virtual assistants, and decision support systems.

  • Dr. LLaMA: This method proposes improving SLMs through generative data augmentation using LLMs.

  • Interpretability at Scale: The authors introduce Boundless DAS, a new method for scaling DAS to large LLMs. Boundless DAS uses a learned model to approximate the alignment between the LLM and a causal model, which makes it much faster than DAS.

  • Corpus Linguistics: This study explores the potential of LLMs to assist corpus-based linguistic studies.

  • Large Language Models and Recommender Systems: This paper investigates the ability of LLMs to be used as ranking models for recommender systems.

  • Small Models for Large Language Models: This research introduces Super ICL, a new approach that combines the strength of ICL with the advantages of smaller, fine-tuned models.

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