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1:57:45The spelled-out intro to language modeling: building makemore
1.3M views • 4 years ago
Andrej Karpathy
Andrej Karpathy builds a bigram character-level language model from scratch, introducing torch.Tensor and the framework of training, sampling and loss evaluation. It is the first step toward a GPT-style Transformer in his makemore series.
Topic match · Machine learning & deep learning
54:01You Suck at Excel - Joel Spolsky (Reupload)
27K views • 2 years ago
Cool Bug Facts
A reupload of Joel Spolsky's talk teaching spreadsheet users the Excel features they are probably missing, such as keyboard navigation, named ranges, tables and lookups. The original disappeared and this copy comes from the Wayback Machine.
15:30Scavenging rechargeable lithium cells from the roadside
263K views • 4 years ago
bigclivedotcom
Big Clive shows how to pick up discarded disposable vape devices from the roadside and extract the rechargeable lithium cells inside. He explains why these devices contain the same circuitry as rechargeable ones and how to reuse the cells.
10:50#NSDR (Non-Sleep Deep Rest) with Dr. Andrew Huberman
9.2M views • 4 years ago
Virtusan
A roughly 10-minute guided Non-Sleep Deep Rest session voiced by neuroscientist Andrew Huberman. It is meant to reduce daytime fatigue, improve focus and aid sleep.
Topic match · Neuroscience & the brain
9:39How to charge your non-Tesla at a Supercharger and what NOT to do!
255K views • 4 years ago
RSymons “RSEV”
A guide to charging a non-Tesla EV, here a BMW i4, at a Tesla Supercharger in the UK, with do's and don'ts. It shows the process in practice now that the network is open to all cars.
1:56:20Let's build GPT: from scratch, in code, spelled out.
8.2M views • 3 years ago
Andrej Karpathy
Andrej Karpathy builds a GPT from scratch in code, following Attention Is All You Need and GPT-2/3, in about two hours using PyTorch. He connects it to ChatGPT and assumes familiarity with his earlier makemore videos.
Topic match · Machine learning & deep learning
1:31:13A Hackers' Guide to Language Models
580K views • 3 years ago
Jeremy Howard
Jeremy Howard's 90-minute practical tour of language models. It covers how they work, GPT-4's capabilities and limits, using the OpenAI API, code writing, data analysis and fine-tuning.
Topic match · Machine learning & deep learning