Build LLMs from Scratch 🚀
Found this gem from Vizuara, a 43-lecture series that actually delivers on its promise: building Large Language Models from the ground up.
What's inside:
→ Transformer architecture
→ GPT internals
→ Tokenization (BPE)
→ Attention mechanisms
→ Complete Python implementations
Perfect for ML engineers and developers who want to understand what's really happening under the hood of ChatGPT, Claude, and similar models.
🔗 [Playlist link in comments]
Watch. Practice. Learn
Dear friends,
When the Dmk government first assumed office in 2021, ministers like and personally visited several unhygienic locations, inspecting even bathroom-to-bathroom conditions on the ground. I was there as a field reporter at the time.
I still remember visiting a severely polluted area near the Buckingham Canal behind Elephant Gate, where Minister Sekar Babu and then Chennai Commissioner Gagandeep singh bedi through the filth to inspect and discuss clean-up measures. Watching that, I genuinely felt that a major transformation was underway.
But even today, the same Buckingham Canal stretch remains in a terrible condition.
The reason I mention this is simple: every new government begins with energy, bold action, and symbolic interventions. The real question is whether that momentum continues over time. If it does, that is truly welcome.
Right now, this is still the “honeymoon period,” where almost everything is naturally viewed in a positive light.
Video capture date : 06/06/2021
So, what does it take to complete 15 freeCodeCamp certs in 4 months while still in high school?
In this guide, @programmingoce breaks down the structured fCC path he used across web dev, Python, data analysis, and machine learning.
And he talks about how building projects, being consistent, and strengthening his fundamentals = real progress.
https://t.co/p373JoQRGs
You only need to read four books to truly get what’s going on in data science and AI:
• Designing Machine Learning Systems by Chip Huyen
• AI Engineering by Chip Huyen
• Practical Statistics for Data Scientists by Peter Bruce, Andrew Bruce, and Peter Gedeck
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
If you read these four technical books and then read these four books on business value and leadership, you’ll be well on your way to career success:
• The Lean Startup
• Good Strategy Bad Strategy
• The First 90 Days
• The Hard Thing About Hard Things
Any more you'd add?
You may have heard about the Model Context Protocol and wondered how it lets AI tools connect to other tools, APIs, and systems.
Well, it's all thanks to MCP servers.
In this guide, @manishmshiva explains how MCP servers work and helps you build your own with Python and the FastMCP library.
https://t.co/Ak7bbR7BMm
Anthropic has quietly dropped a massive curriculum of free courses covering the entire AI ecosystem
The syllabus is STACKED 🔥
→ Claude Code: CLI automation for your workflow
→ MCP Mastery: building custom tools and resources in Python
→ API: a complete guide to the Anthropic backend
→ AI Fluency: frameworks for safe and efficient collaboration
→ Claude 101: core features for everyday work
I added the link to the free @AnthropicAI Academy in the 🧵↓
𝐀𝐥𝐥 𝐏𝐚𝐢𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 (𝐅𝐫𝐞𝐞 𝐟𝐨𝐫 𝐅𝐢𝐫𝐬𝐭 2500 𝐏𝐞𝐨𝐩𝐥𝐞)😍👇
1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. MBA
(48 Hours only ⏰)
To get-
1. Follow me
(So, that I can DM)
2. Retweet
3. Reply " All "
Day 5 of fat to fit journey
Started the day off with a good 2.5k run running for the first time felt good, in fact one of the best run I have ever had
#day5#inspirechezhiyan
The open source community offers devs many opportunities to collaborate, learn, & grow.
Contributing to OSS helps you develop skills, get key experience when job hunting, and so on.
If you want to dive in, this course will teach you how to get involved.
https://t.co/oVxDLFKrNe
Did you know you can run your AI workloads for FREE?
These 4 platforms provide
- Free storage
- Free CPU
- Free GPU
All with no setup needed.
Which one is your favorite?
Stanford CS224U: Natural Language Understanding
The project-oriented class is focused on developing systems and algorithms for robust machine understanding of human lang.
It draws on theoretical concepts from linguistics, NLP, and machine learning.
Link in comments 😎👇