Working from home vs working in the office.

The ultimate test of the Textual DirectoryTree. Opening *gasp* "node_modules" #textualtree

AI for Beginners is a great free course to get you started with Machine Learning: microsoft.github.io/AI-For-Beginne…

GitHub is an absolute goldmine of quality learning resources. Here are 7 programming repos you'll wish you knew sooner:

all code sucks! no really! but here's a pattern for you to avoid and a quick improvement :) youtu.be/TJ_aGY6iyZY

MIT offers free courses in following areas: - Python - Machine Learning - Deep Learning - Probability & Statistics - Linear Algebra A comprehensive curriculum where you get to learn from the best! Read more 🧵👇

When I started programming in the early 90s, people thought it was stupid and that I should become a doctor or a lawyer, not a weird nerd. Years later, they told me it was clear that somebody from India or the Philippines would take my job for $2/hour. When that didn't happen,

I accidentally discovered an undocumented behavior from the new GPT models: [This is NOT SAFE! DO NOT do this at home!] The attached code works, but it shouldn't. What are "compute_average" and "numbers," and where are they coming from? Read on for the details:

If I were to start Computer Science in 2023, - Harvard - Stanford - MIT - Microsoft - IBM - Google -- ALL FREE -- ❯ CS50 from Harvard cs50.harvard.edu/x/2023/ ❯ Python developers.google.com/edu/python ❯ C/C++ ocw.mit.edu/courses/6-s096… ❯ SQL

No, it was not a joke. "Our paying customers need X, when will you fix it?" may not be the best way to introduce yourself to an open source project. #TodayInOpenSource

Imagine getting this PR to review.

What's the best thing you've found in code?

I read one company that their Datadog, Inc. bill is larger than the system under observation, employee salaries and the building their employees work in cost. That’s fucking bananas.

So I've been working on getting Mistral to finetune, and I have two amazing models uploading now, Collective Cognition v1, and v1.1. What's amazing about these models? Well, v1.1 is beating many 70B models at TruthfulQA, a benchmark that tests for common misconceptions, which

Another serverless horror story 😅

A suggestion for an effective 11-step LLM summer study plan: 1) Read* Chapters 1 and 2 on implementing the data loading pipeline (manning.com/books/build-a-… & github.com/rasbt/LLMs-fro…). 2) Watch Karpathy's video on training a BPE tokenizer from scratch (youtube.com/watch?v=zduSFx…). 3)

I'm building something new. If you want to be the 1st to hear about it, I'll be giving a talk in this course. (The course has already started; you can watch the 1st bit on video to catch up.) I'll make my talk available thru Youtube 2 weeks-ish later. maven.com/parlance-labs/…

Easily the best course on applying LLMs! 🙏 Hamel Husain’s course has the exact energy from 2017 fastai: - Heavy focus on practical knowledge over theory - Teaches based on experiences from building commercial projects (rather than examples) - Insanely friendly community

>built an entire OS in Rust >video editor in Zig >a filesystem in C >0 care about views, subs >some vids have <100 views immensely based

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