Scott Juang’s Post

Really exciting to see Tesla, in its latest Full Self Driving (FSD) v12.3.4 software package, replacing over 300,000 lines of C++ code with a single end-to-end neural network trained on millions of video clips gathered from its fleet worldwide! 🤯  I strongly believe access to high quality integrated datasets and a talent pool that is well versed in artificial intelligence to leverage those datasets would be a significant competitive differentiator in the future of most industries.  #artificialintelligence #futureoftech #machinelearning

Hey everyone, Buddy Huggins here! In this video, we dive into Elon Musk’s latest ambitious claim that Tesla’s Dojo supercomputer will rival Nvidia’s powerful chips. We’ll explore what Dojo is, why it’s important, and the challenges Tesla faces in making this vision a reality. Join the conversation and let me know your thoughts in the comments below. #ElonMusk #TeslaDojo #Nvidia #Supercomputer #AI #SelfDrivingCars #TechNews #Innovation #BuddyHuggins

Ok, get out your NVIDIA Jetson Developer kits! You can run #OLLAMA on your #JetsonOrin with just a few commands! Try a variety of #generativeAI large language models at your fingertips, all at the edge. https://lnkd.in/eTzTzt_5

Discover the power of #GenerativeAI at the edge! 🌟 With #OLLAMA on your NVIDIA #JetsonOrin, you can run advanced #largelanguagemodels with ease. Enjoy quick, efficient #AI processing right where you need it. Try it out now with just a few commands! https://lnkd.in/eTzTzt_5 #GenAI #EdgeComputing #Innovation

It´s all about time to market. Check out how to deploy NVIDIA Inference Microservices (NIMs). The setup from scratch to interacting with an LLM took me below 2hrs... #NVIDIANIMs #NVIDIAWorkbench

Humanoid robots could create an ”iPhone moment” in manufacturing. Why buy many products each doing separate tasks, when you can buy one product doing all the tasks? In the next 10-20 years, many single-utility product categories will get into fierce competition with hundreds of new general-purpose robots. Most problem-solving products will become robots. Remember what happened to digital cameras, calculators, journals, adress books, mp3-players, dictionaries, alarm clocks, stationary phones, etc., when the smart phone arrived…? The novel general-purpose product obsoleted their respective utilities. Here is an update by Brett Adcock, founder of Figure, signaling software companies becoming a novel breed, entering the manufacturing world for the first time. Silicon valley is coming. __ #AI #robotics #figure

Nvidia is officially in the model race! 🏎💨 But here’s the twist: they’re not in it to sell access to their models. Nope! Their game plan? Get you to buy more of that sweet, sweet hardware instead! 💻😎 Introducing NVLM 1.0 – an open-source, multimodal model (currently just seeing, no talking…yet). According to Nvidia and early reviews, this bad boy is bringing its A-game with state-of-the-art results on vision-language tasks, giving those proprietary models like GPT-4 a serious run for their money! 💪👀 Check it out: https://lnkd.in/eUtR4_g6

Nvidia has been capturing a lot of attention for their work in generative AI. One of the areas of focus is expanding AI in new vehicle technology. At the AI conference GTC, they highlighted several partnerships beyond autonomy and advanced driver-assist systems. Learn more about their automotive partnerships and how they plan to expand the use of AI in new vehicle technology. #Nvidia #GenerativeAI #VehicleTechnology #Motorlease #FleetManagement #WhatEverItTakes

NVIDIA NIM takes all the complexity of deploying AI models in production environments so it can be done in just a few minutes. Check out how to deploy these optimized containers in under 5 minutes. #AIinference #NVIDIANIM #generativeAI

Thanks for the opportunity YourStory Media Media for my interaction with Bhavish Aggarwal ,CEO of Ola Krutrim My question was Do you think analytic thinking can compensate for GPU compute? Bhavish replied that they are already on such experiments by having parallel strong reasoners to achieve what relatively bigger models can!!! Interacted with their AI teams too,I am pretty sure they are not building wrappers around APIs 🫡 They were even doing Hardware aware NAS for coming up with good nueral network structures 🤯 for their autonomous EV scooty(Yes it wasn't April fools joke 🤣) Do watch the full video,there were lot of good questions!!! Question start at 45 min, mine is at 51 min https://lnkd.in/gUnUtE62 #YourStory #machinelearning