#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
News: #National_Bank lists 23 unauthorized money transfer providers, warns public against use
The National Bank of #Ethiopia (#NBE) has identified 23 unauthorized money transfer service providers and warned the public against engaging with them, according to a public notice issued on 3 April 2026.
The central bank said it has updated and published a revised list of duly licensed money transfer agents authorized to operate in Ethiopia, urging the public to verify service providers through its official website.
The entities listed as unauthorized include #Adulis Money Transfer, #Amal Express, #Bakaal Money Transfer, #Jubba Express, #Quick_Pay, #Redsea (USA), Tasa Pay.
In late December 2025 Addis Standard reported that, the National Bank of Ethiopia (NBE) published an official list of more than 100 licensed money transfer agents and cautioned the public against using unlicensed remittance services.
Read more: https://addisstandard.com/?p=56305
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