Скачать или смотреть 𝟰 - 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 & 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 | 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻, 𝗕𝗘𝗥𝗧, 𝗚𝗣𝗧 & 𝗭𝗲𝗿𝗼-𝗦𝗵𝗼𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

This video explains why Transformers changed everything in AI and became the backbone of foundation models and Generative AI.

🔹 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗲𝗮𝗿𝗻

🔁 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 (𝟮𝟬𝟭𝟳) – Why Attention Is All You Need
👀 𝗦𝗲𝗹𝗳-𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 – How models understand context by weighing words
🧠 Why models like 𝗕𝗘𝗥𝗧, 𝗚𝗣𝗧, 𝗟𝗟𝗮𝗠𝗔 are built on Transformers
⚡ Parallel processing vs old sequential models (RNNs)
🧩 How 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 enabled pretrained foundation models
🔄 Why transfer learning became mainstream

🗣 𝗜𝗻𝘁𝘂𝗶𝘁𝗶𝗼𝗻 𝗲𝘅𝗮𝗺𝗽𝗹𝗲
In the sentence:

“The monkey ate the banana because it was hungry.”
A Transformer knows “it” = monkey, not banana — because it sees the full context at once.

🔹 𝗙𝗲𝘄-𝘀𝗵𝗼𝘁 𝘃𝘀 𝗭𝗲𝗿𝗼-𝘀𝗵𝗼𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴

🎯 𝗭𝗲𝗿𝗼-𝘀𝗵𝗼𝘁 – Model performs a task with no examples, just instructions
🎯 𝗙𝗲𝘄-𝘀𝗵𝗼𝘁 – Model learns from a few examples inside the prompt
These abilities are key reasons LLMs feel intelligent and flexible.

📌 𝗣𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗟𝗠𝘀 𝗰𝗼𝘂𝗿𝘀𝗲 𝗽𝗹𝗮𝘆𝗹𝗶𝘀𝘁
𝗙𝘂𝗹𝗹 𝗣𝗹𝗮𝘆𝗟𝗶𝘀𝘁 - https://studio.youtube.com/playlist/P...


👉 𝗙𝘂𝗹𝗹 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗰𝗼𝘂𝗿𝘀𝗲
🔗 https://quantumroot.in/courses/genera...

📌 𝗢𝘁𝗵𝗲𝗿 𝗚𝗲𝗻𝗔𝗜 𝗖𝗼𝘂𝗿𝘀𝗲𝘀

🎯 𝗚𝗲𝗻𝗔𝗜 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀
https://quantumroot.in/courses/genera...

🏭 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗚𝗲𝗻𝗔𝗜 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺
https://quantumroot.in/courses/indust...

📈 𝗚𝗲𝗻𝗔𝗜 𝗳𝗼𝗿 𝗕𝟮𝗕 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 & 𝗖𝗣𝗟 𝗥𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻
https://quantumroot.in/courses/genera...

🧑‍💼 𝗚𝗲𝗻𝗔𝗜 𝗳𝗼𝗿 𝗛𝗥 & 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻
https://quantumroot.in/courses/genera...