India to Take an AI Leap 🦘

Today’s top AI Highlights:

1. India’s Reliance Jio Partners with Nvidia for Building LLM

2. Researchers Introduce a Method to Distinguish 3D Doppelgangers

3. Boost LLM Inference with Nvidia’s New Software

4. AI Creative Partner for Building Immersive Worlds

& so much more!

Read time: 3 mins

Latest Developments 🌍

Nvidia’s Supremacy Meets India’s Innovation 👑

India’s Reliance Industries’ Jio Platforms has partnered with Nvidia to develop a large language model trained on India’s diverse languages.

Key Highlights:

• The collaboration aims to build an AI infrastructure significantly more powerful than India's fastest supercomputer for accelerated computing access to various stakeholders.

• Nvidia will provide Jio with AI supercomputer solutions, including Nvidia GH200 Grace Hopper Superchip and Nvidia DGX Cloud, as well as frameworks for creating advanced AI models.

• Jio will manage the AI cloud infrastructure and customer interactions as part of the partnership.

Tell 3D Doppelgangers Apart 🧐

Researchers at Cornell University and Tel Aviv University have developed a cutting-edge method to distinguish between visually similar images of distinct 3D structures.

Key Highlights:

• Doppelgangers are images that appear to depict similar structures but are actually different, causing problems in 3D reconstructions.

• The researchers have created a novel learning-based approach and a specialized network architecture to effectively disambiguate such images.

• This method can be seamlessly integrated into Structure-from-Motion (SfM) pipelines, ensuring more accurate and reliable 3D reconstructions.

Supercharge your LLM Inference ⚡

NVIDIA Introduces TensorRT-LLM, an open-source software designed to supercharge LLM inference (ex., 8x higher throughput on H100 compared to the A100).

Key Highlights:

• The software features tensor parallelism, optimizing LLM inference at scale across multiple GPUs without manual model fragmentation.

• Collaborating with leading companies, TensorRT-LLM offers easy integration and customization, even for those without extensive C++ or NVIDIA CUDA knowledge.

• FP8 quantization and in-flight batching minimize memory consumption and double GPU throughput, ensuring higher efficiency and cost savings for enterprises.

Create Immersive Worlds at Fingertips 💅

Roblox unveils Roblox Assistant, its new AI chatbot designed to empower creators in building virtual worlds and experiences.

Key Highlights:

• The Roblox Assistant allows creators to effortlessly generate virtual environments and assets by simply typing in prompts in natural language.

• This AI tool goes beyond environment creation, offering assistance with basic gameplay behaviors, coding, and answering development-related questions.

• Roblox will expand the Assistant’s capabilities to generate sophisticated gameplay and create 3D models from scratch.

Tools of the Trade ⚒️

• ChartPixel: AI-powered data analysis for quickly transforming raw data into visually appealing charts, and insightful AI-assisted annotations.

• AISDR: AI-powered sales tool for lead qualification, prospect engagement, email campaigns, and cost-effective meeting booking.

• Summit: AI-powered life coach to help achieve goals by breaking them down into actionable plans, providing accountability, and offering personalized coaching.

• Agent.so: Train your own personal AI agents with a few clicks and chat with them like human experts.

• Flint: AI teaching assistant for K-12 educators, simplifying material creation, adapting to student needs, aligning with educational standards.

Hot Takes 🔥

• Just wait for GPUs to figure out to replicate themselves using GenAI. ~ Bojan Tunguz

• You can't do research in AI unless you're a really good engineer. Researchers without engineering experience get stuck in academia learning basic programming before they can get to research. This is a huge waste of time, because academia is a terrible place to learn engineering. ~ Sherjil Ozair

Meme of the Day 🤡

That’s all for today!

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