How LLMs Work: Tokens, Attention, Context Window, Temperature | GenAI ki Mahfil | EP 01

ChatGPT pe "Hi" likho, wo "Hello G" likhta hai… par andar actually hota kya hai? 🤔 GenAI ki Mahfil ke pehle episode mein hum LLM ko zero se samjhenge: pehle upar-upar se, phir double tap karke andar tak. Whiteboard, simple Hinglish, koi heavy maths nahi. Is episode mein: ✔ Token kya hai (aur kyun "space" bhi ek token hai) ✔ LLM sirf ek kaam karta hai: next token predict karna ✔ Streaming: ChatGPT word-by-word kyun likhta hai ✔ Transformer ke andar: vector embedding, positional encoding, attention, feed forward, softmax ✔ Context window, lambi chat mein hallucination, aur bada context window = zyada kharcha kyun ✔ Temperature: model kab "apne mann ka maalik" ban jaata hai ⏱️ Timeline 0:00 Intro + shayari: GenAI ki Mahfil, attempt #2 0:30 Aaj kya seekhenge? 0:46 Text → Token → LLM → next token (the big picture) 2:10 ChatGPT pe "Hi" → "Hello G" kaise bana? 2:51 Streaming kya hai? 3:12 Kuch zaroori terms: Token kya hai? 3:55 LLM kya hai? 4:24 Tokenization 4:57 Transformer ke andar 5:27 Vector embedding (cat, dog aur vector space) 6:31 Positional encoding: "cat eat dog" vs "dog eat cat" 7:24 Attention & Feed Forward 7:47 Attention: "river bank" vs "ICICI bank" 8:44 Feed forward: refining 9:02 Output vector + softmax = next token 9:25 Zyada repeat = better model, par zyada cost 10:15 Context window kya hai? 11:05 Lambi chat mein model hallucinate kyun karta hai? 11:20 Bada context window = zyada kharcha (attention ki wajah se) 12:05 Poora Transformer ek baar mein 12:22 Temperature: low vs high 13:36 Recap: saare terms ek saath 14:56 Milte hain next episode mein! 📺 GenAI ki Mahfil: Generative AI ko simple Hinglish mein samajhne ki ek mahfil. Har episode mein ek topic, whiteboard pe, zero se. 👉 Agla episode miss na ho: Subscribe karo aur 🔔 dabao. 💬 Comment mein batao: agle episode mein kya samjhein? #GenAIkiMahfil #LLM #GenerativeAI #ChatGPT #AIinHindi #Transformers #MachineLearning #LearnAI #HindiTech #GenAIkiMahfil #LLM #AIinHindi