Penseur libre humaniste; athée fidèle (Comte_Sponville); fan de Prigogine, Kahneman, Nash, Deligne, Van Parijs. 'The truth is rarely pure and never simple'
Don't waste 2 years learning to use LLMs like Claude & ChatGPT.
Andrej Karpathy, the godfather of AI, dropped a 2 hour course on how he personally uses LLMs daily.
• 00:00 - LLMs simplified
• 22:49 - which LLM to actually use
• 42:00 - one prompt for full research
• 1:13:57 - how to code with LLMs
• 1:37:04 - NotebookLM podcast generation
This course will teach you more about using LLMs than most AI engineers learn in their entire career.
Bookmark this & give 2 hours today, no matter what. Then read the article below.
Before you spend $2,000 on an AI course, read this.
A lot of people are buying expensive AI courses right now.
But honestly, most of them don’t need to.
Some of the best AI learning resources in the world are already free. And they’re not built by self-proclaimed AI experts online.They’re created by the companies actually building the models, chips, tools, and infrastructure behind this entire AI wave.
If you want to learn AI properly, it makes sense to learn directly from the source.
But before that, Check out 100+ such resources shared in this community of 200K+ AI/ML Engineers: https://t.co/1551GLLSyi
Here's a list of 10 free AI learning platforms from industry leaders:
𝟭 - 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰:
https://t.co/i11SbYMwsc
𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲:
https://t.co/AP7UJIWCZS
𝟯 - 𝗠𝗲𝘁𝗮:
https://t.co/Szgt9UZwEG
𝟰 - 𝗡𝗩𝗜𝗗𝗜𝗔:
https://t.co/jhKE77g8qA (GOATed)
𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁:
https://t.co/7oyuGNBso1
𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜:
https://t.co/SB5qSuOJND
𝟳 - 𝗜𝗕𝗠:
https://t.co/bivomoOsgU
𝟴 - 𝗔𝗪𝗦:
https://t.co/4XySMsxNbR
𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝗔𝗜:
https://t.co/wW9udDmT29
𝟭𝟬 - 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲:
https://t.co/9llzeMmuAo
If you’re serious about learning AI, the biggest difference usually comes from consistency, not another course.
MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/NDi4xkIqLH
2. Understanding Deep Learning
https://t.co/2eD1FO6aJP
3. Algorithms for ML
https://t.co/TL5CZN1Zjj
4. Reinforcement Learning
https://t.co/pMd7jycU62
5. Introduction to Machine Learning Systems
https://t.co/fUL9s057vV
6. Deep Learning
https://t.co/ZfDA9RWXwu
7. Distributional Reinforcement Learning
https://t.co/84uSpxugRb
8. Multi Agent Reinforcement Learning
https://t.co/Z6NGLlzOY1
9. Agents in the Long Game of AI
https://t.co/uiP4csNvI9
10. Fairness and Machine Learning
https://t.co/ByrBVyFgOa
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/LHBDyX6RvN
❯ Part 2 : https://t.co/HgOzGDW5jn
I created a GitHub Repository to learn AI Engineering, and I'm excited to share that it crossed 4500 stars recently.
It contains some of the best free courses, articles, tutorials, and videos to learn:
- Mathematical Foundations
- AI & ML Fundamentals
- Deep Learning and Specializations
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering Guides
- RAG, Agents and MCP
Check it out here: https://t.co/7aZKWJg4Mp
If you find the repo valuable, consider giving it a⭐ and share with others.
"Machine Learning from Stanford"
The BEST by 🐐 Andrew Ng - The complete lecture notes for the CS229 course is available FREE.
Download from here → https://t.co/hQqEkI8fHj
#Tokenization is undeniably a key player in the success story of #LLMs but we poorly understand why.
I want to highlight progress we made in understanding the role of tokenization, developing the core incidents and mitigating its problems. 🧵👇
coming out soon...
Learning Theory from First Principles
by Francis Bach
Final PDF draft available to download at:
https://t.co/aT92gf6y9R
with codes too!
Random matrices are very important in modern statistics and machine learning, not to mention physics
A model about which much less is known is uniformly sampled matrices from the set of doubly stochastic matrices: Uniformly Distributed Stochastic Matrices
A thread -
1/n
@PascalFreson@Chaos_Be Je serais plus nuancé : si tu veux le salaire d'un député fédéral, tu dois connaître les devoirs et le comportement attendus d'un élu ; et bien entendu la dureté des réactions. Le MR et son Président se permettent tout, ceux qui les rejoignent le savent...