Great work, thank you so much for explaining complex subjects on AI in more detail and engaging way. Started reading the book in o’reily online(as it is not available in india for purchase) 😀
LLM bases AI Agents are glorified workflow orchestration using LLM for planning and tooling. Any non trivial AI agents face 2 main hurdles, error compounding and high token cost for workflows with may steps. I am not aware of any successful non trivial AI Agent in production
Great Explanation and I'm also going through your book Hands-on Language Models, Currently, I'm in chapter 5, thank you for sharing such a valuable resource
I love your work. After reading the article I ordered the book ;-) Thanks so much for your excellent contributions and for making this complex information available in such a visually engaging manner.
Great work, thank you so much for explaining complex subjects on AI in more detail and engaging way. Started reading the book in o’reily online(as it is not available in india for purchase) 😀
Thank you for the kind words and support!
Fyi, I might be mistaken but it I think it's available in India for purchase here: https://www.shroffpublishers.com/books/9789355425522/?sef_rewrite=1
Yes it's available in India. I have this book. Simply wonderful.
https://amzn.in/d/hBGwvWz
well，so clearly!I I really appreciate your work！
Excellent paper ! I love the pictures that are simple and clear. Thanks a lot
++ Good Post, Also, start here stock market, AI research, Crash Courses, 100+ Most Asked ML System Design Case Studies and LLM System Design
Stock Market
https://open.substack.com/pub/stockmarketanalysis04/p/important-stock-market-post-04-which?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/stockmarketanalysis04/p/important-stock-market-analysis-which?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/stockmarketanalysis04/p/important-stock-market-post-02-understand?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/stockmarketanalysis04/p/important-stock-market-post-03-this?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
Crash Courses
https://open.substack.com/pub/crashcourses/p/crash-course-02-a-complete-crash?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/crashcourses/p/crash-course-01-a-complete-crash?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
AI/ML Research
https://open.substack.com/pub/airesearch04/p/ai-research-2-kimi-k2-thinking-a?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/airesearch04/p/ai-research-1-the-transformer-revolution?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
LLM System Design
https://open.substack.com/pub/naina0405/p/most-important-llm-system-design-b31?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://naina0405.substack.com/p/launching-llm-system-design-large?r=14q3sp
https://naina0405.substack.com/p/launching-llm-system-design-2-large?r=14q3sp
[https://open.substack.com/pub/naina0405/p/llm-system-design-3-large-language?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/naina0405/p/important-llm-system-design-4-heart?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
System Design
https://open.substack.com/pub/naina0405/p/system-design-tech-case-study-pulse-862?r=14q3sp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
https://open.substack.com/pub/naina0405/p/system-design-tech-case-study-pulse-b3c?r=14q3sp&utm_campaign=post&utm_medium=web
https://open.substack.com/pub/naina0405/p/system-design-tech-case-study-pulse-135?r=14q3sp&utm_campaign=post&utm_medium=web
https://open.substack.com/pub/naina0405/p/system-design-tech-case-study-pulse-007?r=14q3sp&utm_campaign=post&utm_medium=web
LLM bases AI Agents are glorified workflow orchestration using LLM for planning and tooling. Any non trivial AI agents face 2 main hurdles, error compounding and high token cost for workflows with may steps. I am not aware of any successful non trivial AI Agent in production
https://pkghosh.wordpress.com/2025/01/23/llm-based-ai-agents-myth-and-reality/
so good !
Very insightful ! I learned a lot. Thank you
Very great work. Thanks for your visuals!
loved this article very very much!! pls note a small typo where the code part shows: 5,2 and not 5.3 as the input
So nice!!!! I love it!
Great work！Thanks for explaining the agent so clearly.
Great Explanation and I'm also going through your book Hands-on Language Models, Currently, I'm in chapter 5, thank you for sharing such a valuable resource
Thank you for the kind words!
This is so insightful and helpful, making it relatively easy to understand, thank you!
I love your work. After reading the article I ordered the book ;-) Thanks so much for your excellent contributions and for making this complex information available in such a visually engaging manner.
That's incredibly kind of you, thanks! Glad to hear that you enjoyed the content.
great article！
This work is so great