Ramesh Sampath sampathweb

## normcore-llm.md

      
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                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 of models in prod eagerly sought.
Foundational Concepts


Pre-Transformer Models


## jupyter_notebook_config.py
import os
import re

from nbconvert.nbconvertapp import NbConvertApp
from nbconvert.postprocessors.base import PostProcessorBase


class CopyToSubfolderPostProcessor(PostProcessorBase):
    def __init__(self, subfolder=None):
        self.subfolder = subfolder

## prediction_example.py
#!/usr/bin/python
# -*- coding: utf8 -*-

# SAMPLE SUBMISSION TO THE BIG DATA HACKATHON 13-14 April 2013 'Influencers in a Social Network'
# .... more info on Kaggle and links to go here
#
# written by Ferenc Huszár, PeerIndex

from sklearn import linear_model
from sklearn.metrics import auc_score
	import os
	import re

	from nbconvert.nbconvertapp import NbConvertApp
	from nbconvert.postprocessors.base import PostProcessorBase


	class CopyToSubfolderPostProcessor(PostProcessorBase):
	def __init__(self, subfolder=None):
	self.subfolder = subfolder
	#!/usr/bin/python
	# -- coding: utf8 --

	# SAMPLE SUBMISSION TO THE BIG DATA HACKATHON 13-14 April 2013 'Influencers in a Social Network'
	# .... more info on Kaggle and links to go here
	#
	# written by Ferenc Huszár, PeerIndex

	from sklearn import linear_model
	from sklearn.metrics import auc_score