CS 61B Data Structures, Spring 2023 UC Berkeley https://sp23.datastructur.es/
Brex’s Prompt Engineering Guide https://github.com/brexhq/prompt-engineering
Bark: A transformer based text to audio system https://github.com/suno-ai/bark
Attempto Controlled English https://en.wikipedia.org/wiki/Attempto_Controlled_English
Run Llama 13B with a 6GB graphics card https://gist.github.com/rain-1/8cc12b4b334052a21af8029aa9c4fafc
Monte Carlo methods https://easylang.dev/apps/tutorial_mcarlo.html
Open-Llama: Complete training pipeline for building large language models https://github.com/s-JoL/Open-Llama
Backpropogation Is Just Steepest Descent with Automatic Differentiation (2013) https://idontgetoutmuch.wordpress.com/2013/10/13/backpropogation-is-just-steepest-descent-with-automatic-differentiation-2/
Launch HN: GradientJ (YC W23) – Build NLP Applications Faster with LLMs
Why TinyML is still so hard to get excited about https://staceyoniot.com/why-tinyml-is-still-so-hard-to-get-excited-about/
Solaris movie review and film summary (1976) https://web.archive.org/web/20230403195122/https://www.rogerebert.com/reviews/solaris-1976
If Philip Glass was a Film (2019) [video] https://www.youtube.com/watch?v=gPtd6gVgKo8
Carl Braun on communicating like a grown-up (2016) https://fs.blog/carl-braun-communicating/
Universal Speech Model https://sites.research.google/usm/
Learn Exponentially https://saveall.ai/blog/learn-exponentially
The Design of Everyday Things – Book Summary and Notes https://elvischidera.com/2022-06-24-design-everyday-things/
Semantic Tokenizer for Enhanced Natural Language Processing https://arxiv.org/abs/2304.12404
Finetuning Large Language Models https://magazine.sebastianraschka.com/p/finetuning-large-language-models
An example of LLM prompting for programming https://martinfowler.com/articles/2023-chatgpt-xu-hao.html
World’s last dedicated Meccano factory to close in France
Neural Networks: Zero to Hero https://karpathy.ai/zero-to-hero.html Whisper.cpp example running fully in the browser https://whisper.ggerganov.com/
Negative-weight single-source shortest paths in near-linear time https://arxiv.org/abs/2203.03456
Europe's largest deposit of rare earth metals discovered in Sweden https://news.cision.com/lkab/r/europe-s-largest-deposit-of-rare-earth-metals-is-located-in-the-kiruna-area,c3696152
Conversation skills essentials https://tynan.com/letstalk/
Show HN: Port of OpenAI's Whisper model in C/C++ https://github.com/ggerganov/whisper.cpp
Valve Introduces Proton Next https://linuxgamingcentral.com/posts/valve-introduces-proton-next/
Stop Writing Dead Programs [video] https://www.youtube.com/watch?v=8Ab3ArE8W3s
Instead of your Life's Purpose (2021) https://philosophyinhell.substack.com/p/instead-of-your-lifes-purpose
Donkeycar: A Python self driving library https://github.com/autorope/donkeycar
Fixing Hallucination with Knowledge Bases https://www.pinecone.io/learn/langchain-retrieval-augmentation/
Bitwise Binary Search: Elegant and Fast https://orlp.net/blog/bitwise-binary-search/
Transformers from Scratch (2021) https://e2eml.school/transformers.html
My shell setup with Fish and Tmux (2021) https://www.milanvit.net/post/my-ultimate-shell-setup-with-fish-shell-and-tmux/
Car alarms and smoke alarms: tradeoff between sensitivity and specificity (2012) https://blog.danslimmon.com/2012/11/02/car-alarms-and-smoke-alarms-the-tradeoff-between-sensitivity-and-specificity/
The RWKV language model: An RNN with the advantages of a transformer https://johanwind.github.io/2023/03/23/rwkv_overview.html
Awk Technical Notes https://maximullaris.com/awk_tech_notes.html
The dangers behind image resizing (2021) https://zuru.tech/blog/the-dangers-behind-image-resizing
Algorithmic Trading: A Practitioner’s Guide https://web.archive.org/web/20230508223616/https://henrikwarne.com/2023/02/12/algorithmic-trading-a-practitioners-guide/
A GPT in 60 Lines of NumPy https://jaykmody.com/blog/gpt-from-scratch/
Gattaca is still pertinent 25 years later https://www.nature.com/articles/s41588-022-01242-5
Foundations of Data Science (2018) [pdf] https://www.cs.cornell.edu/jeh/book.pdf?file=book.pdf
Awesome-totally-open-ChatGPT: A list of open alternatives to ChatGPT https://github.com/nichtdax/awesome-totally-open-chatgpt
Show HN: Chatblade – A CLI Swiss Army Knife for ChatGPT https://github.com/npiv/chatblade
Launch HN: DAGWorks – ML platform for data science teams
Stochastic gradient descent written in SQL https://maxhalford.github.io/blog/ogd-in-sql/
Ask HN: Besides Legos, what’s the best kit for prototyping mechanical devices?
MinGPT: Minimal PyTorch re-implementation of GPT https://github.com/karpathy/minGPT
How to Design Better APIs https://r.bluethl.net/how-to-design-better-apis
Ask HN: Can I see your cheatsheet?
Alain de Botton on existential maturity and what emotional intelligence means https://www.themarginalian.org/2019/11/25/the-school-of-life-book/
8-Part Film Adaptation of Tolstoy's Anna Karenina Is Free Online https://web.archive.org/web/20220812033256/https://www.openculture.com/2022/07/watch-an-8-part-film-adaptation-of-tolstoys-anna-karenina-free-online.html
A/B testing gets misused to juice metrics in the short term https://www.zumsteg.net/2022/07/05/unchecked-ab-testing-destroys-everything-it-touches/
MIT 6.S191: Introduction to Deep Learning http://introtodeeplearning.com/
Mathematics for the Adventurous Self-Learner https://www.neilwithdata.com/mathematics-self-learner
Calculus with Julia https://calculuswithjulia.github.io/
Ask HN: Starting Your Own LLC?
Von Neumann’s critique of automata theory and logic in computer science (1947) https://www.yodaiken.com/2019/02/20/von-neumanns-critique-of-automata-theory-and-logic-in-computer-science/
Show HN: Python Machine Learning – A Crash Course https://github.com/machinelearningmindset/machine-learning-course
Markov Chain Text Generation https://blog.demofox.org/2019/05/11/markov-chain-text-generation/
How to Do Nothing: Resisting the Attention Economy https://www.nytimes.com/2019/04/30/books/review/jenny-odell-how-to-do-nothing.html
Machine Learning Books That Helped Me Level Up http://www.datastuff.tech/data-science/3-machine-learning-books-that-helped-me-level-up-as-a-data-scientist/
https://web.archive.org/web/20201111195954/http://news.ycombinator.com/item?id=19688258 https://purl.stanford.edu/jq248bz8097
Kalman and Bayesian Filters in Python (2018) https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
50 Years of Data Science (2015) [pdf] http://courses.csail.mit.edu/18.337/2015/docs/50YearsDataScience.pdf
Opening up BBC Sounds to others’ podcasts and commercial radio https://www.bbc.co.uk/blogs/aboutthebbc/entries/d1624a77-bd3d-48c3-ad42-301f19263364
Ask HN: Best place to start learning about Markov Chains?
Principles and Techniques of Data Science https://www.textbook.ds100.org/
Transformers from Scratch http://www.peterbloem.nl/blog/transformers
ML From Scratch, Part 1: Linear Regression http://www.oranlooney.com/post/ml-from-scratch-part-1-linear-regression/
Collection of Jupyter notebooks for quantitative finance https://github.com/cantaro86/Financial-Models-Numerical-Methods
Google Cloud Platform Security Best Practices https://web.archive.org/web/20220427164620/https://www.assured.se/2019/12/19/gcp-security/
PiHole-Google: Completely Block Google and Its Services https://web.archive.org/web/20201111220016/https://github.com/nickspaargaren/pihole-google
CS Unplugged: Teaching material for CS using cards, string and crayons https://www.csunplugged.org/en/
RWKV: Reinventing RNNs for the Transformer Era https://arxiv.org/abs/2305.13048
How to train your own large language models https://blog.replit.com/llm-training
NaturalSpeech 2: Zero-shot speech and singing synthesizers https://speechresearch.github.io/naturalspeech2/
Basic math related to computation and memory usage for transformers https://blog.eleuther.ai/transformer-math/
Hacker News in Slow Italian https://hn.lingually.ai/
Teach your kids poker, not chess https://momentofdeep.substack.com/p/teach-your-kids-poker-not-chess
Unpaywall: An open database of 31,903,705 free scholarly articles https://unpaywall.org/
Tools for Better Thinking https://untools.co/
Markov chain Monte Carlo without the bullshit (2015) https://jeremykun.com/2015/04/06/markov-chain-monte-carlo-without-all-the-bullshit/
How to request removal of your contact info from Google search results https://blog.google/products/search/a-new-search-tool-to-help-control-your-online-presence/
A New Era of Podcast Mergers Is Just Beginning https://www.bloomberg.com/news/newsletters/2023-05-25/podcast-consolidation-reaches-smaller-studios-amid-advertising-downturn
Purely Functional Data Structures (1996) https://www.cs.cmu.edu/~rwh/students/okasaki.pdf
Albert Camus https://plato.stanford.edu/entries/camus/
Brex’s Prompt Engineering Guide https://github.com/brexhq/prompt-engineering
SIMD accelerated sorting in Java – how it works and why it was 3x faster https://jbaker.io/2022/06/09/vectors-in-java/