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NVIDIA Reveals Mind-Blowing Real-Time AI: NPCs Respond to Human Speech in Video Games!

Extracting Multiple Concepts from a Single Image. Introducing Break-A-Scene

By 5 min read
NVIDIA Reveals Mind-Blowing Real-Time AI: NPCs Respond to Human Speech in Video Games!

In today’s email:

  • 🕹️ NVIDIA demos NPCs Respond to Human Speech in Video Games!.

  • 🗂️ Organize your files using natural language and GPT-4.

  • 🎇 Extracting Multiple Concepts from a Single Image

  • 🛠 Various AI-related tools and platforms, including Decktopus, Quivr, roop, Plask, Swell, Autocode, Muzify, and more.

Highlights💡 

NVIDIA CEO Unveils Gen AI Platforms for Every Industry [Link]

NVIDIA founder and CEO Jensen Huang delivered his first live keynote since the pandemic this Sunday at the COMPUTEX conference in Taipei. Watch the full video here.

  • He announced platforms for leveraging generative AI that is transforming industries such as advertising, manufacturing, and telecom.

  • The announcements included the DGX GH200, a large-memory AI supercomputer combining the Grace CPU and H100 Tensor Core GPU.

  • The NVIDIA MGX modular reference architecture for accelerated servers was introduced.

  • Collaborations with SoftBank and Microsoft were announced to build 5G and generative AI data centers and drive innovation for Windows PCs in the generative AI era, respectively.

  • Partnerships with WPP and electronics manufacturers were established for generative AI-enabled content creation and digital smart factories.

  • Huang highlighted the widespread adoption of NVIDIA technologies, with thousands of companies and startups using them and millions of downloads of CUDA software.

Break-A-Scene: Extracting Multiple Concepts from a Single Image [Project], [Paper], [Video]

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  • The paper introduces "Break-A-Scene," a method for textual scene decomposition.

  • The method aims to extract distinct text tokens for each concept in a single image containing multiple concepts.

  • It enables fine-grained control over generating scenes by synthesizing individual concepts or combinations of them in different contexts.

  • The customization process involves a two-phase approach of optimizing textual embeddings (handles) and model weights.

  • A masked diffusion loss is used to ensure each handle can generate its designated concept without penalizing entanglement.

  • A loss on cross-attention maps is employed to prevent handle entanglement by ensuring each handle attends only to areas related to its target concept.

  • Union-sampling, a training strategy, is used to improve the generation of concept combinations.

  • The method is evaluated using automatic metrics and a user study, showcasing various applications.

GPTFile - Proof-of-concept illustration to show how LLM's could manage and organize files. [GitHub]

Tools & Links 🛠️

  • roop - one-click deepfake (face swap) [GitHub], [More Demos]

    Take a video and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training.

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  • .local domains - Develop your apps locally with .local domains [Link]

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  • Let's create some surreal influencer selfies using midjourney [Link]

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  • Decktopus creates presentations that are both visually stunning and incredibly professional. [Link]

  • Quivr - Dump all your files and thoughts into your GenerativeAI Second Brain and chat with it [GitHub], [Demo], [App]

  • Swell AI - Build chat bots for your podcast episodes [Link]

  • Plask AI - You frame it, AI creates the rest.[Link]

  • Descript - A new way to make video and podcasts. A good way! [Link]

  • AutoCode - Your Ideas, Transformed into Code. Starting with “Text to Chrome Extension” [Link]

  • Turn yourself into an animated Pixar character with voice in 3 easy steps [Link]

  • Podcast Embeddings - 1000s hours of audio transcripts across the best podcasts turned into over 1M embeddings. And now you can chat with it [Link]

  • Getting started with LLMs? These 2 cheat sheets are a great starting point. [Link]

  • Chainlit lets you create ChatGPT-like UIs on top of any Python code in minutes [GitHub], [Docs]

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  • Using the new Generative Fill feature from Photoshop to expand famous album covers [Link]

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  • Hacking around ChatGPT’s Character Limits with the Code Interpreter [Link]

  • Muzify - Turn your book into an AI generated music playlist. [Link]

  • Automatic1111 - Stable Diffusion web UI [GitHub], [Tutorial]

  • Amazon Is Being Flooded with Books Entirely Written by Ai [Link]

  • Profile: Before His Killing, Tech Executive Bob Lee Led an Underground Life of Sex and Drugs [Link]

Unclassified 🌀 

When you sneak ChatGPT into your master thesis acknowledgments... 🤪 [Reddit]

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