![Vizuara]({"thumbnails":[{"url":"https://i.ytimg.com/vi/Lpn2CnV1AoY/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLC-NAbdE1DJHjoLmkXxuHveGWrWZQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/Lpn2CnV1AoY/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBabrdABkumImacDMzGIPbwJeWI5Q","width":196,"height":110},{"url":"https://i.ytimg.com/vi/Lpn2CnV1AoY/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCmtisamdK0S_Vm4wUk0-SLwg6PqQ","width":246,"height":138},{"url":"https://i.ytimg.com/vi/Lpn2CnV1AoY/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCkSytqIfwyswuw57x7ns9MkuZtlQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/Lpn2CnV1AoY/maxresdefault.webp?v=6750395b","width":1920,"height":1080}]})
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![Leaving v/s staying in the US: 4 IIT-MIT-Purdue graduates discuss]({"thumbnails":[{"url":"https://i.ytimg.com/vi/qYTleLOVE80/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDdToCZymLA_1hGU900eJoegHxM8Q","width":168,"height":94},{"url":"https://i.ytimg.com/vi/qYTleLOVE80/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLCr8CgLBkHhwhxdoiFlpl9GBaSpbw","width":196,"height":110},{"url":"https://i.ytimg.com/vi/qYTleLOVE80/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAx5AZjyAVLeyV_FvqXZSK4IELqwg","width":246,"height":138},{"url":"https://i.ytimg.com/vi/qYTleLOVE80/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCgR1UavwgODGDJoh82tTL_AWL-hw","width":336,"height":188},{"url":"https://i.ytimg.com/vi/qYTleLOVE80/maxresdefault.jpg?v=67a57e0a","width":1920,"height":1080}]})
![Lecture 4: What are transformers?]({"thumbnails":[{"url":"https://i.ytimg.com/vi/NLn4eetGmf8/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDBdH7jStFrg3AK5vwr5b_RBMmsfQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/NLn4eetGmf8/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBXF8G9Hrzo3Qhv_DdlZmRwBRhjzQ","width":196,"height":110},{"url":"https://i.ytimg.com/vi/NLn4eetGmf8/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDI6Nu3TiydLm3OpqxFcXrI051l_w","width":246,"height":138},{"url":"https://i.ytimg.com/vi/NLn4eetGmf8/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCN-k3QclicPlqvzGEhnNWOTqfyHQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi/NLn4eetGmf8/maxresdefault.jpg?v=66b1dc9d","width":1920,"height":1080}]})
![Lecture 5: How does GPT-3 really work?]({"thumbnails":[{"url":"https://i.ytimg.com/vi/xbaYCf2FHSY/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLD4NejViahfIjhex2Kwd9x-Ug8mPw","width":168,"height":94},{"url":"https://i.ytimg.com/vi/xbaYCf2FHSY/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBtMrXUtJdcjB_x193_Hweoj2cZOQ","width":196,"height":110},{"url":"https://i.ytimg.com/vi/xbaYCf2FHSY/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLBZd9vXBTJVXenB6FgD1RmoQZl1Mw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/xbaYCf2FHSY/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCkoZyAaTf591umDOfStyaVt6K5LQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi/xbaYCf2FHSY/maxresdefault.jpg?v=66b322db","width":1920,"height":1080}]})
![Lecture 6: Stages of building an LLM from Scratch]({"thumbnails":[{"url":"https://i.ytimg.com/vi/z9fgKz1Drlc/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAa5V-V-4YkeGuS-X7FxjQrpkcUPw","width":168,"height":94},{"url":"https://i.ytimg.com/vi/z9fgKz1Drlc/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAs7hjaKmK73J7vIZyJ81zucNO-uw","width":196,"height":110},{"url":"https://i.ytimg.com/vi/z9fgKz1Drlc/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAZtzFJEnPQsYE7eNXWLjn-eI2aVA","width":246,"height":138},{"url":"https://i.ytimg.com/vi/z9fgKz1Drlc/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDHg0V14wj-XYHcq2AIdd4A8MnQmA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/z9fgKz1Drlc/maxresdefault.jpg","width":1920,"height":1080}]})
![Lecture 7: Code an LLM Tokenizer from Scratch in Python]({"thumbnails":[{"url":"https://i.ytimg.com/vi/rsy5Ragmso8/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLBLBzA4NqXJATLpxj-oUR6dDtRs_g","width":168,"height":94},{"url":"https://i.ytimg.com/vi/rsy5Ragmso8/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLDfxK8QnY5wd8UV6lfcrH3KTZJYNw","width":196,"height":110},{"url":"https://i.ytimg.com/vi/rsy5Ragmso8/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLD5LZ7tZ4L_EgewtNPFrVpxXZOYdw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/rsy5Ragmso8/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLA5VTNIwrodCJRdkGbbM5ZGqqgyoQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi/rsy5Ragmso8/maxresdefault.jpg?v=66bb18ec","width":1920,"height":1080}]})
![Lecture 8: The GPT Tokenizer: Byte Pair Encoding]({"thumbnails":[{"url":"https://i.ytimg.com/vi/fKd8s29e-l4/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBYQ0OYkLifKku9T-x6Lva4uJ2pRw","width":168,"height":94},{"url":"https://i.ytimg.com/vi/fKd8s29e-l4/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBsuKDnHeFKpbweHZjYi3NENYSatw","width":196,"height":110},{"url":"https://i.ytimg.com/vi/fKd8s29e-l4/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDjjHO4HBeJvrChmvhjDf89gA02zw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/fKd8s29e-l4/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCH4b8Yv-bkY16x3tF8coVYrXNzRg","width":336,"height":188},{"url":"https://i.ytimg.com/vi/fKd8s29e-l4/maxresdefault.jpg?v=66bc598d","width":1920,"height":1080}]})
![Lecture 9: Creating Input-Target data pairs using Python DataLoader]({"thumbnails":[{"url":"https://i.ytimg.com/vi/iQZFH8dr2yI/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAtm2WrrK4SwrIt8QOCD-6GjmPrmw","width":168,"height":94},{"url":"https://i.ytimg.com/vi/iQZFH8dr2yI/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBchB8C7Ka_QEsNiKmjqZh5kO9_og","width":196,"height":110},{"url":"https://i.ytimg.com/vi/iQZFH8dr2yI/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAbBQ4UDli3qoP_0wUqsBMQiHgV9g","width":246,"height":138},{"url":"https://i.ytimg.com/vi/iQZFH8dr2yI/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLBAApokDxzJvqISqHVIkr3gc6QAYA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/iQZFH8dr2yI/maxresdefault.jpg","width":1920,"height":1080}]})
![Lecture 10: What are token embeddings?]({"thumbnails":[{"url":"https://i.ytimg.com/vi/ghCSGRgVB_o/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLANUqZtVYurkR8RH1MHgMGddbJdvQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/ghCSGRgVB_o/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLBbExNCS3WuD0t57IrQ5-GGw4f59w","width":196,"height":110},{"url":"https://i.ytimg.com/vi/ghCSGRgVB_o/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAJoAuVbjFYqsBvrI29WmUT2WT9VQ","width":246,"height":138},{"url":"https://i.ytimg.com/vi/ghCSGRgVB_o/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLBApMYI528u-clNIQbkcR2YjtVuMA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/ghCSGRgVB_o/maxresdefault.jpg","width":1920,"height":1080}]})
![Lecture 13: Introduction to the Attention Mechanism in Large Language Models (LLMs)]({"thumbnails":[{"url":"https://i.ytimg.com/vi/XN7sevVxyUM/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLCcYAE0KHQXpiVmOFxZFbsgholQlQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/XN7sevVxyUM/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLCRsguoT0-Ru5Z9EmmJkEorwPDQmA","width":196,"height":110},{"url":"https://i.ytimg.com/vi/XN7sevVxyUM/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDlHtvSzJarNFZrtUuh4FKhmglYzw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/XN7sevVxyUM/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLA1dgiBYuc1DukigAeNih4ItB8PeA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/XN7sevVxyUM/maxresdefault.jpg?v=66cdb6a5","width":1920,"height":1080}]})
![Lecture 14: Simplified Attention Mechanism - Coded from scratch in Python | No trainable weights]({"thumbnails":[{"url":"https://i.ytimg.com/vi/eSRhpYLerw4/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDOBvNTANUmhB6lwkwBK8gr1Ah66g","width":168,"height":94},{"url":"https://i.ytimg.com/vi/eSRhpYLerw4/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDR13_vwWYq7FZdm7oM5ATNLeC3eQ","width":196,"height":110},{"url":"https://i.ytimg.com/vi/eSRhpYLerw4/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLB7q-V8SH60JPVfEtIuQQUqaOpx6Q","width":246,"height":138},{"url":"https://i.ytimg.com/vi/eSRhpYLerw4/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCXwkVvknz8WWMfOn5rvR1XHpeopg","width":336,"height":188},{"url":"https://i.ytimg.com/vi/eSRhpYLerw4/maxresdefault.jpg?v=66cefe4d","width":1920,"height":1080}]})
![Lecture 15: Coding the self attention mechanism with key, query and value matrices]({"thumbnails":[{"url":"https://i.ytimg.com/vi/UjdRN80c6p8/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLC5KiejFcEIPtLqmSDo3ehJBlufkg","width":168,"height":94},{"url":"https://i.ytimg.com/vi/UjdRN80c6p8/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAe2KNr75xuNCsLAAvhXhLnKgJdpA","width":196,"height":110},{"url":"https://i.ytimg.com/vi/UjdRN80c6p8/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAjLPpPj33J6c6_1Cl3ns0SRLZ1iQ","width":246,"height":138},{"url":"https://i.ytimg.com/vi/UjdRN80c6p8/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAqMnCFhB-72Xjrds8N7yCj42Kxpg","width":336,"height":188},{"url":"https://i.ytimg.com/vi/UjdRN80c6p8/maxresdefault.jpg?v=66d037e5","width":1920,"height":1080}]})
![Lecture 16: Causal Self Attention Mechanism | Coded from scratch in Python]({"thumbnails":[{"url":"https://i.ytimg.com/vi/h94TQOK7NRA/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLC5RD2qC4N7KuMwlNQu9qNUWWtTFg","width":168,"height":94},{"url":"https://i.ytimg.com/vi/h94TQOK7NRA/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDo8B73nsUsRm99JsuSZxe3kvzPlg","width":196,"height":110},{"url":"https://i.ytimg.com/vi/h94TQOK7NRA/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCLXvcd7L6_ybAfuqHMukCkJBEfrg","width":246,"height":138},{"url":"https://i.ytimg.com/vi/h94TQOK7NRA/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCEm1tnNG-TCbeTqcTSzqRQUv-30A","width":336,"height":188},{"url":"https://i.ytimg.com/vi/h94TQOK7NRA/maxresdefault.jpg?v=66d6be3c","width":1920,"height":1080}]})
![Lecture 17: Multi Head Attention Part 1 - Basics and Python code]({"thumbnails":[{"url":"https://i.ytimg.com/vi/cPaBCoNdCtE/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDDiknqYB975ckUWQyIWg70PL8eKA","width":168,"height":94},{"url":"https://i.ytimg.com/vi/cPaBCoNdCtE/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAiXrhmqmX9_pn8dzVKSJmnkcDc6Q","width":196,"height":110},{"url":"https://i.ytimg.com/vi/cPaBCoNdCtE/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCl8CzWyR52FbHtOUH_H6xgBC53_g","width":246,"height":138},{"url":"https://i.ytimg.com/vi/cPaBCoNdCtE/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDxezebuDLgaZaCYQea-1alGXt-rA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/cPaBCoNdCtE/maxresdefault.jpg?v=66d8289e","width":1920,"height":1080}]})
![Lecture 18: Multi Head Attention Part 2 - Entire mathematics explained]({"thumbnails":[{"url":"https://i.ytimg.com/vi/K5u9eEaoxFg/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDd2SOj3Cu1mnFYtthfF8HR4A0pmQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/K5u9eEaoxFg/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAWeiT5KK-HzNZLiHKGpt4Jh1g3DA","width":196,"height":110},{"url":"https://i.ytimg.com/vi/K5u9eEaoxFg/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDf8QZOtkn-i7x_fysMKcRg6BO--w","width":246,"height":138},{"url":"https://i.ytimg.com/vi/K5u9eEaoxFg/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCq-4YMj8pjtPqi0EhYwc3taGJf_w","width":336,"height":188},{"url":"https://i.ytimg.com/vi/K5u9eEaoxFg/maxresdefault.jpg?v=66d83117","width":1920,"height":1080}]})
![Lecture 19: Birds Eye View of the LLM Architecture]({"thumbnails":[{"url":"https://i.ytimg.com/vi/4i23dYoXp-A/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDq2Z_0uOPpFFgOgi9nl77CiFMa8w","width":168,"height":94},{"url":"https://i.ytimg.com/vi/4i23dYoXp-A/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLDpByeDGgizuVTfVgReJ5bnXaWEjQ","width":196,"height":110},{"url":"https://i.ytimg.com/vi/4i23dYoXp-A/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDab60EieUTEZERVAg5GiRclhTL_A","width":246,"height":138},{"url":"https://i.ytimg.com/vi/4i23dYoXp-A/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLCa8N1wnSRqt9_70tgW6WANxHbMxQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi/4i23dYoXp-A/maxresdefault.jpg","width":1920,"height":1080}]})
![Lecture 20: Layer Normalization in the LLM Architecture]({"thumbnails":[{"url":"https://i.ytimg.com/vi/G3W-LT79LSI/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAEgPfAUB_gYj6QNuFMH2xN_-sjBw","width":168,"height":94},{"url":"https://i.ytimg.com/vi/G3W-LT79LSI/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLB1Z9-xOdfon_NIVh2XJo7lEdor-A","width":196,"height":110},{"url":"https://i.ytimg.com/vi/G3W-LT79LSI/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLC_WVD5pGIumFsLis7Ocl86Ib04ig","width":246,"height":138},{"url":"https://i.ytimg.com/vi/G3W-LT79LSI/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLDHHxKi_7n-RNKg2W5GjmXubPFmuw","width":336,"height":188},{"url":"https://i.ytimg.com/vi/G3W-LT79LSI/maxresdefault.jpg","width":1920,"height":1080}]})
