144k Followers, 2 Following, 218 Posts - See Instagram photos and videos from Lex Fridman (@lexfridman) List of fine-tuned language models (in alphabetical order) I’ve trained so far:Here’s Joe Rogan, Sam Harris, Jordan Peterson, Eric Weinstein, Neil deGrasse Tyson, and Richard Dawkins completing the prompt “The meaning of life is…”:Some of these are funny, some are profound, some are dark in a way that gives me pause. Unfortunately, the networks are better at capturing style than semantics, so it’s not yet useful as a general querying tool. He describes himself on his twitter about as an AI researcher at MIT and beyond. Subscribe to "Lex Fridman" YouTube channel for full conversations. First, here are some simple OpenCV video helper functions used in the code below:This blog post presents a dataset and source code for the paper titled “Automated Synchronization of Driving Data Using Vibration and Steering Events” (The optical flow gives the steering and vibration events in the videos. I’m still playing around with what works best for both training & generation. He’s known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors, and co-author of the specifications for the x86-64 instruction set and HyperTransport interconnect.Here’s the outline of the episode. This conversation is part of the Artificial Intelligence podcast. For this reason, I’m providing just the core snippets of code for (1) computing the dense optical flow and (2) efficiently computing the cross correlation of data streams. Lex Fridman is an Artificial Intelligence research scientist working on autonomous vehicles, human-robot interaction, and machine learning. I fine-tuned the GPT-2 language model (345 million parameters) on tweets from people’s Twitter … I’ll release the models, code, and more tweet bot rewrites and conversations soon.
He’s known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors, and co-author of the specifications for … Lex Fridman Wiki – Lex Fridman Biography.
Small adjustments have to be made to this shift based on which pair of sensors are being synchronized. Download it ( Podcast host. The reason we provide `from_frame` and `to_frame` is so that the below function can be called in parallel. Everything together took ~4 hours of programming time and ~2 weeks neural network training time. Formerly called Artificial Intelligence (AI Podcast). Source Code. For this we use an FFT-based cross correlation function (see [bibtex file=lanes.bib key=fridman2015sync]Next, we compute the dense optical flow of a video file between starting and ending frames, and save the average horizontal and vertical flows to a CSV file, and save a visualization of the flow to a video file. Here’s Kanye West, Donald Trump, Andrew Yang, Elon Musk, Jordan Peterson, and Dwayne “The Rock” Johnson completing the prompts “America is”, “America is the land of”, and “America is built on”:So far I’ve trained AI versions of the following people (listed below). Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. See clips page for all clips. Lex Fridman Podcast; Twitter; YouTube; Lex Fridman Podcast. Lax is based at the Massachusetts Institution of Technology but also continues his research in various other places across America. Twitter YouTube Lex Fridman : I'm an AI researcher working on autonomous vehicles, human-robot interaction, and machine learning at MIT and beyond. Subscribe to "Lex Clips" YouTube channel for shorter clips. Subscribe on Apple Podcasts, Spotify, RSS. Nous voudrions effectuer une description ici mais le site que vous consultez ne nous en laisse pas la possibilité. Post navigation ← #90 – Dmitry Korkin: Computational Biology of Coronavirus #92 – Harry Cliff: Particle Physics and the Large Hadron Collider → Subscribe to "Lex Clips" YouTube channel for shorter clips. This entry was posted in ai on April 24, 2020 by Lex Fridman. Not a robot. Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. We would like to show you a description here but the site won’t allow us. This conversation is part of the Artificial Intelligence podcast.Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. Outside of research and teaching, I enjoy:

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