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Aleksa Gordić - The AI Epiphany @UCj8shE7aIn4Yawwbo2FceCQ@youtube.com

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x-Google DeepMind, x-Microsoft engineer explaining AI. ❤️


01:01:42
Building Julius AI to 500.000 users w/ Rahul (founder)
01:05:00
DeepMind's TacticAI: an AI assistant for football tactics | Petar Veličković
55:26
Ishan Misra (Meta) - Emu Video Generation
59:19
InstructPix2Pix (w/ OpenAI's Tim Brooks)
01:05:05
GPT-Fast - blazingly fast inference with PyTorch (w/ Horace He)
01:11:46
How does Groq LPU work? (w/ Head of Silicon Igor Arsovski!)
53:30
Thomas Wolf (HuggingFace) - the case for open-source!
54:50
Jeremy Howard - answer.ai, what is wrong with the academia and industry
01:00:23
LLaMA 2 w/ Thomas Scialom (LLaMA 2 lead)
01:03:33
EleutherAI Pythia w/ Hailey Schoelkopf
55:08
Lucas Beyer (Google DeepMind) - Convergence of Vision & Language
01:10:59
Tanishq Abraham (PhD at 19) - MedARC
47:54
building the best RLHF (TRLX) library w/ Louis Castricato
02:07
Jarvis for Images! (demo) - run locally, no external APIs
52:43
OpenAI DALL-E 3 with James Betker (1st author)
46:16
The Vesuvius challenge breakthrough with Luke Farritor
01:06:47
Will LLMs kill Search? Nils Reimers (director of ML at Cohere) | The AI Epiphany Discord talks
53:36
MosaicML - Path to 1.300.000.000$ with Davis Blalock (1st employee) | Discord server talks
01:00:25
Flash Attention 2.0 with Tri Dao (author)! | Discord server talks
14:30
Introducing Ortus - your YouTube AI buddy | ChatGPT Chrome extension
08:52
I Left Google DeepMind - it's AI Startup Time!
18:37
OpenAI's GPT 4 is out and it's multimodal! What we know so far
01:06:09
Building web apps using Streamlit | Streamlit crash course | MLOps series #2
39:50
What is MLOps and how to get started? | MLOps series
07:48
Andrew Huberman transcripts | MLOps series announcement
34:23
NeurIPS 2022 - interviews with AI experts and conference walk-through
46:12
How To Install CUDA, cuDNN, Ubuntu, Miniconda | ML Software Stack | Part 3/3
01:13:58
How to Assemble a Deep Learning Machine - Full Process | Part 2
49:14
How to Build a Deep Learning Machine - Everything You Need To Know
58:29
High Fidelity Neural Audio Compression | Paper & Code Explained
10:05
Ask Me Anything: A Simple Strategy For Prompting Language Models | Paper Explained
42:16
Make-A-Video: Text-To-Video Generation Without Text-Video Data | Paper Explained
36:38
AudioGen: Textually Guided Audio Generation | Text To Audio | Paper Explained
01:02:42
OpenAI Whisper: Robust Speech Recognition via Large-Scale Weak Supervision | Paper and Code
01:12:00
BigScience BLOOM | 3D Parallelism Explained | Large Language Models | ML Coding Series
01:14:56
OPT-175B: Open Pretrained Transformer | ML Coding Series
47:17
GPT-NeoX-20B | BigScience BLOOM | OPT-175B | Training Large Language Models | Papers Explained
01:40:36
Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models | ML Coding Series
40:19
Get Started With Stable Diffusion! (Code, HF Spaces, Diffusers Notebooks)
01:22:58
Ultimate Guide To Scaling ML Models - Megatron-LM | ZeRO | DeepSpeed | Mixed Precision
15:46
30k subscribers AMA (Ask Me Anything) | Channel Update
01:16:35
DALL-E mini explained | min(DALL-E) | Craiyon | ML Coding Series
01:01:04
OpenAI GLIDE (Diffusion) | ML Coding series | Towards Photorealistic Image Generation and Editing
01:08:56
Diffusion Models Beat GANs on Image Synthesis | ML Coding Series | Part 2
01:28:56
Ultimate Guide to Diffusion Models | ML Coding Series | Denoising Diffusion Probabilistic Models
01:42:52
Facebook DETR | ML Coding Series | End to end object detection with transformers
01:30:40
OpenAI CLIP | Machine Learning Coding Series
01:08:06
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
42:51
Hyperbolic Graph Convolutional Networks | Geometric ML Paper Explained
52:38
Understanding over-squashing and bottlenecks on graphs via curvature | Ricci Flow | Paper Explained
58:09
NeuroEvolution of Augmenting Topologies (NEAT) and Compositional Pattern Producing Networks (CPPN)
44:33
POET: Paired Open-Ended Trailblazer | Paper Explained
51:45
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (μTransfer)
31:36
VOS: Learning What You Don't Know By Virtual Outlier Synthesis | Paper Explained
40:08
ConvNeXt: A ConvNet for the 2020s | Paper Explained
01:18:16
Machine Learning with Flax - From Zero to Hero
32:35
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis | Paper Explained
52:51
OpenAI GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
42:50
Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper Explained
32:38
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Paper Explained