AIX Ventures

Codeium is releasing a new coding engine called Cortex, which it claims can process more data — up to 100 million lines of code — at once. That’s useful for a number of reasons: for one, because a single piece of code is “interrelated with hundreds of millions of other lines,” having fuller context about a company’s entire codebase helps Cortex make better suggestions, Coedium CEO Varun Mohan told Forbes. https://trib.al/vXzmZW7 #BillionDollarStartups

Wondering what's happening next for AI and LLMs? Here is exactly what top AI research Richard Socher says: 1. What's driving AI model improvements now and in the future? Current driver: Bigger models and more training data. Next few years: Focus on improving algorithms/reasoning. Long-term: Improved simulations across real-world scenarios. "Anything you can simulate, you can eventually solve with AI." 2. Will synthetic data solve the data shortage for LLMs? Synthetic data may not be ideal for natural language models. Human-generated content still crucial for training/improvement. World changes require constant new data input (i.e. new president). 3. Will we see diminishing returns from adding more training data? Logarithmic flattening of improvements from more data coming. Magnitude more data needed for small benchmark improvements. Balance needed between data, algorithms, and hardware advances. 4. How will AI capabilities expand in the coming years? Integrating logical reasoning to reduce today's silly mistakes. Developing advanced simulations for language and characters. Applying AI to complex scientific challenges like cancer research. P.S. How do you keep an eye on current AI developments?

Check out how Kayla Pukys at Anagenex was able to automate 15 parallel organic chemistry reactions in only hours with Spaero instead of taking weeks to write, optimize, and troubleshoot dozens of lines of code.

Great Founder Day with AIX Ventures. Loved connecting with other founder friends and companies leading innovations that will have large scale impact. Thanks to Richard Socher for being an investor, a mentor and friend. AIX Ventures You.com Ellipsis Health

Knowledge workers are quickly adopting AI Assistants for everyday tasks that require accurate, up-to-date answers. We're already building agent-like features for research, analysis, problem-solving, and content creation. The better LLMs become, the better these abilities become. We've also layered on an index of the web purpose-built for LLMs with more relevant information per page that can be incorporated with Retrieval-augmented Generation (RAG) over company data.

Unlock AI's potential for your business in just 2 days! 🔓 Join top executives for our AI for the C-Suite program at University of California, Berkeley. This intensive 2-day course will equip you with the strategic knowledge and practical tools needed to integrate AI into your business. Register now and take the first step toward a future of innovation and efficiency! https://bit.ly/4cm9fmZ UC Berkeley College of Engineering Eva Visscher-Simon Keith McAleer Dara McKenzie Kristina Susac David Gallacher Pieter Abbeel #AI #Leadership #ExecutiveEducation #UCBerkeley

Bloomberg has just released their second annual AI leaderboard, recognizing Covariant alongside AI innovators and industry leaders like OpenAI, Anthropic, Perplexity, Scale AI, and Cohere. We're honored to be featured as the leading company pioneering AI for the physical world, and remain motivated to transform industries through intelligent robotic automation. https://lnkd.in/gNbG72PN

Serverless Inference with Hugging Face and NVIDIA NIM! Excited to announce the latest update on our collaboration between Hugging Face and NVIDIA! Inference as a Service is a new feature for Hugging Face Enterprise Organizations to easily build and prototype AI applications using the latest open LLMs with Serverless Compute. 👀 TL;DR: 🚀 Introducing Hugging Face Inference-as-a-Service powered by NVIDIA NIM 💼 Available for Enterprise Hub organizations 🖥️ Powered by NVIDIA DGX Cloud and NVIDIA NIMs 🤖 Starting with 7 open LLMs, including Llama 3.1 70B & Mixtral 8x22B 💰 Pay-as-you-go (pay only for request time) with $0.0023/second/gpu 🔌 Supports OpenAI API standards for easy adoption Learn more here: https://lnkd.in/dUQNQ4gS