#AI #LLM #AIEngineer 🔗 Join the WhatsApp Community https://chat.whatsapp.com/FA2yAijOTUn9XLQlFDNTiQ?s=cl&p=i&mlu=4 This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow together. Anyone who is genuinely interested can join. If you see a "limit reached" message while joining, please wait for some time and try again later. 📚 Free Resources • Free AI Engineer Roadmap 2026: https://ch-balaji.github.io/ai-engineer-roadmap/ • Agentic AI Playlist: https://youtube.com/playlist?list=PL8qeqP57-QAa048dYOZSvGwdAGqEMFMkc&si=kG9Xvk6tfAoEbkd4 • Roadmap Video: https://youtu.be/Eze6D8jAMjI 🌐 Connect with me • LinkedIn: https://www.linkedin.com/in/balaji-chippada-0317/ • Instagram: https://www.instagram.com/balajichippada Tokens in LLMs are the single reason ChatGPT, Claude, Cursor and GitHub Copilot suddenly stop replying mid-task, why your API bill jumps overnight, and why long prompts get truncated. In this beginner-friendly visual walkthrough, you'll learn what tokens in LLMs actually are, how plain text is converted into numbers through tokenization and embeddings, and why the same "hello" can cost 1 token in English but 9 tokens in Telugu. We also break down TPS (tokens per second), input vs output token pricing, the hidden token tax from tools, MCP servers and chat history, and the context window that quietly makes your AI forget. By the end you'll understand exactly why your prompts cost what they cost — and how to stop wasting tokens. Built for serious learners following the Free AI Engineer Roadmap 2026. ⏱ Timestamps 00:00 Why ChatGPT Hits Usage Limits 01:50 Why Machines Cannot Read Text 03:30 Why ASCII Numbers Fail for LLMs 06:25 What A Token Really Is 08:50 Embeddings Give Numbers Meaning 10:00 OpenAI Tokenizer Live Demo 13:25 English vs Telugu Token Cost 14:25 Input vs Output Tokens And TPS 16:30 Why Output Tokens Cost 5x More 18:30 The Hidden Token Tax (Tools, MCP, History) 19:55 Context Window And Why AI Forgets 21:30 Tips To Save Tokens
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need video on deep understanding of Embeddings
First time Tokens gurinchi thelusukunnanu, ilagaithe companies ki peddha bokke in future. 🎉 thank you bro.
Yes we need embedings session
How to research like you /(Him), Suggestions are welcome from all learners, Thanks in advance.
Very informational video. I would like to understand more about vectors and embeddings. Thanks.
Anna please explain about embeddings,transformers and fine tuning too ,also is ollama best?
A new topic learned, kudos to Balaji Anna for the efforts put in 😍
Hi Bro, I just wanted to take a moment to express my appreciation for your fantastic explanation. Your energy and tone are truly inspiring, and I am confident that your content will resonate not only with professionals but also with school students. Wishing you a bright and successful future ahead! I’ve recently embarked on my own AI journey, drawing from 26 years of experience in IT, and your videos are proving to be a valuable resource. I plan to cover all your current videos and eagerly await your upcoming releases. Thanks again for sharing your knowledge and enthusiasm with the community.
Hi bro can create videos on Agentic AI in proper format It helps us to follow one by one I saw the roadmap it's awesome Release the videos based on roadmap
Yes we need embedings session!!
great explanation,need detailed video on embeddings
Anna, pls make one simple video on embedded
Thanks ❤
Good
Your video on tokens was fantastic! The explanation was so clear and engaging that it kept me hooked till the end, and I finally understood the concept really well.
First of all thanks a lot Balaji for the FREE Agentic AI Full Course, I have followed few others in YouTube but I like the way you explain the topic in detail with examples. I am very much interested and looking forward for deep learning of Embeddings topic. Hope you can make it. Thanks once again.
That is a wonderful explanation, Balaji! You have made the concept of tokenization crystal clear, will help us to learn it in depth too. One thing is certain, with this improved understanding, we would not be hitting the "token limit reached" as frequently as earlier.
Really enjoyed this video. The way you explained tokens made the whole concept clear and made sense for me. Thanks for breaking it down so clearly.
Bro - I really appreciate what you are doing. Any layman can able to understand your videos.
great explantion bro. kudos to your efforts to make it as simpler as it can be.