Stefano stevexyz

## normcore-llm.md

      
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                stevexyz
                / normcore-llm.md
            
            
              Created
              August 25, 2023 10:15
                — forked from veekaybee/normcore-llm.md
            
              
                Normcore LLM Reads
              
          
    Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).
My own notes from a few months back.
Background


Survey of LLMS
Self-attention and transformer networks


## README.md

      
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                stevexyz
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              Created
              January 26, 2023 15:26
                — forked from hofmannsven/README.md
            
              
                Git Cheatsheet
              
          
    Git

Global Settings


Related Setup: https://gist.github.com/hofmannsven/6814278
Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/
Interactive Beginners Tutorial: http://try.github.io/
Git Cheatsheet by GitHub: https://services.github.com/on-demand/downloads/github-git-cheat-sheet/

Reminder

Press minus + shift + s and return to chop/fold long lines!

  
## pythondebugtemplate.py
# from: http://web.archive.org/web/20121122043920/http://aymanh.com:80/python-debugging-techniques

# By default, the logging module prints critical, error and warning messages. To change this so that all levels are printed, use:
# $ ./your-program.py --logging=debug
# To send log messages to a file called debug.log, use:
# $ ./your-program.py --logging-level=debug --logging-file=debug.log

import logging
import optparse

## tensorflow_linux_sse41_sse42_avx_avx2_fma.md

      
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                stevexyz
                / tensorflow_linux_sse41_sse42_avx_avx2_fma.md
            
            
              Last active
              April 21, 2018 15:23
                — forked from philster/tensorflow_macos_sse41_sse42_avx_avx2_fma_cuda.md
            
              
                Build TensorFlow 1.3 with SSE4.1/SSE4.2/AVX/AVX2/FMA and NVIDIA CUDA support on macOS Sierra 10.12
              
          
    Build TensorFlow 1.8 with SSE4.1/SSE4.2/AVX/AVX2/FMA on Linux

These instructions were inspired by Mistobaan's gist, ageitgey's gist, and mattiasarro's tutorial.
Background

I always encountered the following warnings when running my scripts using the precompiled TensorFlow Python package:
I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

I realized I can make these warnings go away by compiling from source, in addition to impro
	# from: http://web.archive.org/web/20121122043920/http://aymanh.com:80/python-debugging-techniques

	# By default, the logging module prints critical, error and warning messages. To change this so that all levels are printed, use:
	# $ ./your-program.py --logging=debug
	# To send log messages to a file called debug.log, use:
	# $ ./your-program.py --logging-level=debug --logging-file=debug.log

	import logging
	import optparse