The Art Of Decoding Data Science.
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The Art Of Decoding Data Science.
627 subscribers
The Art Of Decoding Data Science.
https://youtu.be/bwgIomw3KBM?si=1G9yXEyEAESpxYd6
YouTube
Architecting LLM and RAG systems + Q&A
Part of MLOps with Databricks course by Marvelous MLOps: https://maven.com/marvelousmlops/mlops-with-databricks
Guest lecture by Paul Iusztin + Q&A.
Paul gave a presentation on architecting #LLM & RAG systems and walked through:
- the fundamentals (RAG…
The Art Of Decoding Data Science.
https://mlopsworld.com/foundation-model-training/
The Art Of Decoding Data Science.
https://vinija.ai/recsys/LLM/#sliding-window-training---utilizing-historical-recommender-systems-data-for-foundation-models
vinija.ai
Vinija's Notes • Recommendation Systems • LLM
Vinija's detailed AI Notes
The Art Of Decoding Data Science.
https://github.com/MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning?tab=readme-ov-file
GitHub
GitHub - MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning: This is the homepage of a new book entitled "Mathematical…
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning." - MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
The Art Of Decoding Data Science.
https://youtu.be/ODpFomsUb_s?si=n5A5fT4eif7JY_67
YouTube
He Went From $50K to $750K Per Year
If you've wondered how a PM can grow their comp from $50K to $750K/year, this episode is for you. Satish Mummareddy did exactly that by growing to IC7 PM at Meta.
We tell the whole story:
Preview – 00:00:00
Breaking into Product Management – 00:01:01
Salary…
The Art Of Decoding Data Science.
https://github.com/hamzafarooq/building-llm-applications-from-scratch
GitHub
GitHub - hamzafarooq/building-llm-applications-from-scratch: Code and Slides
Code and Slides. Contribute to hamzafarooq/building-llm-applications-from-scratch development by creating an account on GitHub.
The Art Of Decoding Data Science.
https://open.substack.com/pub/mlvanguards/p/mlops-system-design-is-boring?utm_campaign=post&utm_medium=web
Substack
MLOps system design is boring.
The thinking process behind any AI system.
The Art Of Decoding Data Science.
https://flower.ai/events/flower-ai-summit-2025/?utm_campaign=reward_jg37
flower.ai
Flower AI Summit 2025
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.
The Art Of Decoding Data Science.
https://github.com/alirezadir/machine-learning-interviews/blob/main/src/MLSD/ml-system-design.md
GitHub
Machine-Learning-Interviews/src/MLSD/ml-system-design.md at main · alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews. - alirezadir/Machine-Learning-Interviews
The Art Of Decoding Data Science.
https://www.loom.com/share/91f6a7cc88254891996c5fa800ffde42?sid=fa71379d-5168-4a61-9335-90552393956f
Loom
Arc - wordle_demo - Jupyter Notebook - 19 March 2025
The Art Of Decoding Data Science.
https://predibase.com/blog/introducing-reinforcement-fine-tuning-on-predibase
Predibase
The First Reinforcement Fine-Tuning Platform for LLMs - Predibase
Discover how Predibase's end-to-end reinforcement fine-tuning platform enables developers to build specialized AI models that outperform larger foundation models—even with limited labeled data.
The Art Of Decoding Data Science.
https://github.com/aws-neuron/build-on-trainium-workshop/tree/main
GitHub
GitHub - aws-neuron/neuron-workshops: Notebooks and sample code for Build On Trainium
Notebooks and sample code for Build On Trainium. Contribute to aws-neuron/neuron-workshops development by creating an account on GitHub.
The Art Of Decoding Data Science.
https://www.amazon.science/research-awards/call-for-proposals/build-on-trainium-call-for-proposals-spring-2025
Amazon Science
Build on Trainium call for proposals — Spring 2025
Building the future of AI with AWS Trainium.
The Art Of Decoding Data Science.
https://www.linkedin.com/posts/paoloperrone_the-40-rules-of-machine-learning-engineering-activity-7308885084265140224-HNQp?utm_medium=ios_app&rcm=ACoAAAsHy_QB40Dh4lwS7kqhlvAUmqJITdoCyM8&utm_source=social_share_send&utm_campaign=share_via
Linkedin
The 40 Rules of Machine Learning Engineering
That Will Give You a PhD in… | Paolo Perrone | 68 comments
The 40 Rules of Machine Learning Engineering
That Will Give You a PhD in real-world ML Without Scars & Tears:
❯ Before Machine Learning
#1 - Do not default to Machine Learning
#2 - Quantify the problem before considering ML
#3 - Implement metrics…
The Art Of Decoding Data Science.
https://netflixtechblog.medium.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39
Medium
Foundation Model for Personalized Recommendation
By Ko-Jen Hsiao, Yesu Feng and Sudarshan Lamkhede
The Art Of Decoding Data Science.
https://github.com/meta-llama/llama-stack/tree/main/docs/zero_to_hero_guide
GitHub
llama-stack/docs/zero_to_hero_guide at main · meta-llama/llama-stack
Composable building blocks to build Llama Apps. Contribute to meta-llama/llama-stack development by creating an account on GitHub.
The Art Of Decoding Data Science.
https://www.deep-ml.com/
Deep-Ml
Practice Machine Learning and Data Science Problems
The Art Of Decoding Data Science.
https://www.eventbrite.ca/e/agents-genai-infrastructure-and-tooling-summit-tickets-1267687079179
Eventbrite
Agents & GenAI Infrastructure and Tooling Summit
Explore cutting-edge autonomous AI systems and GenAI tools and Infra. with 15+ expert demos with live Q&A
The Art Of Decoding Data Science.
https://youtube.com/playlist?list=PLlrxD0HtieHgKcRjd5-8DT9TbwdlDO-OC&si=oIH2IxHJ9Ah0n2pk
YouTube
AI Agents for Beginners
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents. Find the full "AI Agents for Beginners" Cour...
The Art Of Decoding Data Science.
https://www.linkedin.com/posts/lukastencer_machinelearning-reinforcementlearning-rl-activity-7319095362479104000-cZec?utm_source=share&utm_medium=member_ios&rcm=ACoAAAsHy_QB40Dh4lwS7kqhlvAUmqJITdoCyM8
Linkedin
#machinelearning #reinforcementlearning #rl #ai #llm |
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𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗥𝗟)? 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝗲𝗱 𝗺𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁.
A few days ago, Cameron R. Wolfe, Ph.D. shared a great list of RL resources. I added a comment with a few of my own favorites — and since that sparked a bunch of DMs, I figured…