🧠 𝐋𝐋𝐌𝐬-𝐟𝐫𝐨𝐦-𝐬𝐜𝐫𝐚𝐭𝐜𝐡 by Sebastian Raschka — Build, pretrain, and fine-tune your own GPT-style LLM with this hands-on repo from the book “𝐁𝐮𝐢𝐥𝐝 𝐚 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥 (𝐅𝐫𝐨𝐦 𝐒𝐜𝐫𝐚𝐭𝐜𝐡)”. Check this out- github.com/rasbt/LLMs-fro…

Disappeared for a bit, came back with AIR 532 in GATE CS — and a fresh product idea brewing. Time to build. 🚀

𝗖𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝘁𝗵𝗶𝘀 𝗜𝗡𝗖𝗥𝗘𝗗𝗜𝗕𝗟𝗘 𝘃𝗶𝘀𝘂𝗮𝗹 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 𝗟𝗟𝗠𝘀 𝗹𝗶𝗸𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧! ⬇️ Try it here: bbycroft.net/llm The visualization explained by Andrej Karpathy: youtube.com/watch?v=7xTGNN…

Discovered a comprehensive step-by-step guide for building your own LLM, complete with clear explanations, visual diagrams, and practical examples for each stage of development. Check this out- github.com/JohnMachado11/…

Is it better to build in silence or share everything as I go?

LLMs are a type of AI model, but not all AI models are LLMs. Here are eight cutting-edge architectures that extend traditional AI, enhancing understanding, reasoning, and generation across domains and modalities.

𝗧𝗵𝗶𝘀 𝗶𝘀 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝘆 𝗚𝗣𝗨𝘀 𝗰𝗿𝘂𝘀𝗵 𝗖𝗣𝗨𝘀 𝘄𝗵𝗲𝗻 𝗶𝘁 𝗰𝗼𝗺𝗲𝘀 𝘁𝗼 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗔𝗜 — 𝗮𝗻𝗱 𝗮𝗹𝘄𝗮𝘆𝘀 𝘄𝗶𝗹𝗹: ⬇️ Kudos for this brilliant visualization to DataInterview.com.

𝗠𝗖𝗣 𝘃𝘀 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 — 𝗮𝗻𝗱 𝘄𝗵𝘆 𝘁𝗵𝗶𝘀 𝗱𝗶𝗮𝗴𝗿𝗮𝗺 𝘄𝗶𝗹𝗹 𝗺𝗮𝘁𝘁𝗲𝗿 𝗮 𝗹𝗼𝘁 𝗺𝗼𝗿𝗲 𝗶𝗻 6 𝗺𝗼𝗻𝘁𝗵𝘀: ⬇️ 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 = 𝗶𝗻𝘁𝗲𝗻𝘁 𝗠𝗖𝗣 = 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 (Kudos @Weaviate)

Live a disciplined life, spontaneously.

Not a bad day 😌 Zaid

Every great engineer is also an artist.