SmolAgents: Introduction to Agents |
LLM Agents |
Package docs |
|
2025-02-07 |
Insanely good. Changed my mind about agent frameworks |
https://huggingface.co/docs/smolagents/conceptual_guides/intro_agents |
Building Effective Agents |
LLM Agents |
Blog |
Erik Schluntz, Barry Zhang |
2025-01-13 |
69/10 This is now my go-to reference on this topic |
https://www.anthropic.com/research/building-effective-agents |
o1 isn’t a chat model (and that’s the point) |
Large Language Models |
Blog |
Ben Hylak, Swyx, Alessio |
2025-01-12 |
Very insightful |
https://www.latent.space/p/o1-skill-issue |
How Docker Containers Work |
|
Blog |
|
2024-11-11 |
Taught me a lot |
https://www.freecodecamp.org/news/how-docker-containers-work/ |
The ultimate guide to error-handling in python |
python |
blog |
Miguel Grinberg |
2024-10-18 |
Very good |
https://blog.miguelgrinberg.com/post/the-ultimate-guide-to-error-handling-in-python |
ReAct: synergizing reasoning and acting in language models |
Large Language Models |
Paper |
Shunyu Yao et al (google brain) |
2024-10-13 |
Compelling and readable paper |
https://arxiv.org/abs/2210.03629 |
8 Things to Know about Large Language Models |
Large Language Models |
Paper |
Samuel R. Bowman |
2024-10-12 |
|
https://arxiv.org/abs/2304.00612 |
Hermes: A Text-to-SQL solution at Swiggy |
Large Language Models |
Blog |
Amaresh M, Rutvik Reddy (Swiggy Bytes tech blog) |
2024-10-10 |
Extremely insightful |
https://bytes.swiggy.com/hermes-a-text-to-sql-solution-at-swiggy-81573fb4fb6e |
Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown |
Large Language Models |
Blog |
Jina AI |
2024-10-10 |
|
https://jina.ai/news/reader-lm-small-language-models-for-cleaning-and-converting-html-to-markdown/ |
A simple recipe for model error analysis |
Machine Learning |
Blog |
Christoph Molnar |
2024-10-10 |
|
https://mindfulmodeler.substack.com/p/a-simple-recipe-for-model-error-analysis |
How good are LLMs at doing ML on an unknown dataset? |
Large Language Models |
Blog |
Håvard Tveit Ihle |
2024-10-10 |
|
https://www.lesswrong.com/posts/Fr6eJkjYWG9Mw6XQc/how-good-are-llms-at-doing-ml-on-an-unknown-dataset |
A RAG from scratch to query the scikit-learn documentation |
Retrieval Augmented Generation (RAG) |
Blog |
Guillaume Lemaitre (probabl) |
2024-10-09 |
|
https://papers.probabl.ai/a-rag-from-scratch-to-query-the-scikit-learn-documentation |
The Phoenix Project |
Dev-Ops |
Book |
Gene Kim, Kevin Behr, George Spafford |
2024-07-1 |
Loved it |
|
Tidy First? |
Software Development |
Book |
Kent Beck |
2024-06-11 |
A cool perspective |
https://www.oreilly.com/library/view/tidy-first/9781098151232/ |
LazyVim for Ambitious Developers |
neovim |
Book |
Dusty Phillips |
|
Extremely good |
https://lazyvim-ambitious-devs.phillips.codes/ |
Machine Learning Q & AI |
Machine Learning |
Book |
Sebastian Raschka |
2024-06-11 |
I loved that it targeted intermediate level ML practitioners (not beginner and not a textbook) |
https://www.amazon.com/Machine-Learning-AI-Essential-Questions/dp/1718503768 |
OAuth2.0 spec |
security |
technical documentation |
Internet Engineering Task Force |
2024-06-10 |
Very readable |
https://datatracker.ietf.org/doc/html/rfc6749 |
Chronos: Learning the Language of Time Series |
Forecasting, Large Language Models |
Paper |
Ansari et al |
2024-05-11 |
|
https://arxiv.org/abs/2403.07815 https://github.com/amazon-science/chronos-forecasting |
Spark: The Definitive Guide |
Apache Spark |
Book |
Bill Chambers, Matei Zaharia |
|
Lovely and clear, although a little outdated. Stopped reading when I had the information I needed. |
|