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Source channel @githubtrending · Post #14845 · Jun 20

#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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djangoproject

@djangoproject · Post #435 · 09/07/2017, 01:47 PM

https://www.python.org/dev/peps/pep-0498/ #Interpolation # Python supports multiple ways to format text strings. # These include %-formatting, # str.format(), # and string.Template # The !s, !r, and !a conversions are not strictly required. # Because arbitrary expressions are allowed inside the #f_strings, # this code: »> a = 'some string' »> f'{a!r}' "'some string'" Is identical to: »> f'{repr(a)}' "'some string'" Similarly, !s can be replaced by calls to #str() and !a by calls to #ascii().

djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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