#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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Loved it, bro. Thanks!
Thanks for the great teaching
Good morning brother. You have an extraordinary teaching skills. Well explained. Keep it up. Stay blessed. Kindly give the present and future scenario in the market pertaining to both AI affect and effect. Can every cse graduate get the placement in the industry? Are there opportunies in the software industry right now to offer job to the lakhs ofcse graduates every year across india and abroad? Please kindly make one detailed video. Thank you.
Do Embeddings video
Very Informative video ❤
Excellent session
Bro this is amazingly good. Excellent explanation
Token optimization tools idea.. I think it is good startup idea for coming years
Good work and nice explanation. Really gained knowledge on this topic. Keepup good work
Thank you. Informative and helpful.
Good to see having such content in telugu.
Excellent info thank u
First time i saw your videos, very clear explanation and helpful. Thanks
I totally understand the concept of tokenization, we are paying monthly subscription for the AI model where does this concept of paying for tokens comes under.
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.
wow i came to know about tokens ....Thanks a lot for in depth explanation.. Keep doing videos.. All the best
Baga chepparu meeru. Thanks
Very nice explanation
Balaji ---- Thank you for choosing a good concept, and great explaination.
great explantion bro. kudos to your efforts to make it as simpler as it can be.