#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer
You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4].
https://github.com/rasbt/LLMs-from-scratch
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Fotih Dumanning kitoblari yaxshi chiqdi, "Sir" kitobini 2 kunda o'qib tugatdim, bundan avval "Men" kitobini mutolaa qilgan edik.
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#SIR#Facts@ssbclear
🗳Massive Drop in 'Zero Ineligible Voter' Polling Stations in Bengal
- The number of polling stations in West Bengal with zero ineligible voters plummeted from 2,208 to just 7 after Election Commission scrutiny.
- Districts like South 24 Parganas, Purulia, and Malda, which previously had hundreds of such booths, now report only one or two each.
- Over 50 lakh electors have been flagged as dead, duplicate, shifted, or untraceable.
- Around 98.84% of enumeration forms have been digitised from 7.6 crore registered voters.
- A new software, Demographic Similar Entries, helped detect 1.22 lakh ineligible names so far.
- Legal action is promised against Booth Level Officers if deliberate errors are found.
- These reforms come ahead of West Bengal’s upcoming elections next year.