Aziz Alto iamaziz

## llm-from-scratch-arnews_80epoch-big-net.ipynb

      
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                iamaziz
                / llm-from-scratch-arnews_80epoch-big-net.ipynb
            
            
              Created
              January 10, 2024 14:41
            
          
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## Jais-LLM-GettingStarted-v2.ipynb

      
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                iamaziz
                / Jais-LLM-GettingStarted-v2.ipynb
            
            
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              April 16, 2024 16:59
            
              
                Running Jais LLM on M3 Max chip with 64GB - using `torch_dtype=torch.float16`. Now much faster but way off
              
          
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## Jais-LLM-GettingStarted.ipynb

      
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                iamaziz
                / Jais-LLM-GettingStarted.ipynb
            
            
              Created
              December 30, 2023 17:16
            
              
                Running Jais LLM on M3 Max chip with 64GB - for some reason it's very slow and too big for a 13b model
              
          
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## pytorch_device.py
import torch

# Check if CUDA is available, else check for MPS, otherwise default to CPU
if torch.cuda.is_available():
    device = torch.device("cuda") # GPU
elif torch.backends.mps.is_available():
    device = torch.device("mps")  # MacOS M-series chip
else:
    device = torch.device("cpu")  # CPU

## LLM-from-scratch.ipynb

      
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                iamaziz
                / LLM-from-scratch.ipynb
            
            
              Created
              July 23, 2023 17:02
            
              
                Building a large language model (LLM) from scratch (for learning and fun - inspired by Llama2).
              
          
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## tf_practice_mnist_nn_normalized_vs-_non-normalized-data.ipynb

      
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                iamaziz
                / tf_practice_mnist_nn_normalized_vs-_non-normalized-data.ipynb
            
            
              Created
              November 14, 2020 02:37
            
              
                tf_practice_MNIST_nn_normalized_vs._non-normalized-data
              
          
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## tf_practice_1_mini_linear_nn.ipynb

      
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                iamaziz
                / tf_practice_1_mini_linear_nn.ipynb
            
            
              Created
              November 14, 2020 01:09
            
              
                tf_practice_1_mini_linear_nn.ipynb
              
          
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## clone_table_between_redshift_databases.ipynb

      
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                iamaziz
                / clone_table_between_redshift_databases.ipynb
            
            
              Created
              November 12, 2020 05:00
            
              
                Clone table from one redshift database "cluster" to another via S3 (in Python)
              
          
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## redshift_hook.py
from __future__ import annotations
from functools import lru_cache, wraps

from psycopg2 import connect
from pandas import read_sql, DataFrame


class RedshiftDB:
    """Redshift Database Hook
    USAGE:

## count-qura-an-words-v1.ipynb

      
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                iamaziz
                / count-qura-an-words-v1.ipynb
            
            
              Last active
              May 20, 2020 00:58
            
              
                Count Qura'an Words - v1
              
          
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	import torch

	# Check if CUDA is available, else check for MPS, otherwise default to CPU
	if torch.cuda.is_available():
	device = torch.device("cuda") # GPU
	elif torch.backends.mps.is_available():
	device = torch.device("mps") # MacOS M-series chip
	else:
	device = torch.device("cpu") # CPU
	from __future__ import annotations
	from functools import lru_cache, wraps

	from psycopg2 import connect
	from pandas import read_sql, DataFrame


	class RedshiftDB:
	"""Redshift Database Hook
	USAGE: