@AloneSnowflake · Post #396 · 06/16/2024, 09:31 PM
𝐀dd 𝐒ticker ˓ 🔴 ˒ ༅ 𝐉oin 𝐂hannel ⋅•⋅ #Sticker#Boo#MonsterInc
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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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@AloneSnowflake · Post #396 · 06/16/2024, 09:31 PM
𝐀dd 𝐒ticker ˓ 🔴 ˒ ༅ 𝐉oin 𝐂hannel ⋅•⋅ #Sticker#Boo#MonsterInc
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@djangoproject · Post #195 · 11/08/2016, 03:18 AM
http://stackoverflow.com/questions/29269370/how-to-properly-create-and-run-concurrent-tasks-using-pythons-asyncio-module In the case of trying to concurrently run two looping Tasks, I've noticed that unless the Task has an internal await expression, it will get stuck in the while loop, effectively blocking other tasks from running (much like a normal while loop). However, as soon the Tasks have to wait--even for just a fraction of a second--they seem to run concurrently without an issue. Thus, the await statements seem to provide the event loop with a foothold for switching back and forth between the tasks, giving the effect of #concurrency. Example output with internal await: running async test ...#boo 0 ...#baa 0 ...boo 1 ...baa 1 ...boo 2 ...baa 2
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@CosineGallery · Post #3741 · 11/15/2025, 12:23 PM
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@cosplayuploadtest2 · Post #102722 · 03/23/2025, 03:37 AM
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