content = '15. TFRecord in Tensorflow'

content

'15. TFRecord in Tensorflow'

import re

result = re.sub(r'\d+\.', '', content)

result.strip()

'TFRecord in Tensorflow'

content2 = """1. Cross Entropy Loss Derivation

2. How to split a tensorflow model …

content = "This device is costing only 12.89$. This is fantastic!"

content

'This device is costing only 12.89$. This is fantastic!'

import re

re.sub(r'[^\w]', ' ', content)

'This device is costing only 12 89 …

from datetime import datetime
import re

content = 'Sunday, May 18th, 2019'

content

'Sunday, May 18th, 2019'

d = datetime.strptime(re.sub('(\d+)(st|nd|rd|th)', '\g<1>', content), '%A, %B %d, %Y')

d …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

tf.InteractiveSession()

a = tf.zeros((2, 2))
b = tf.ones((2, 2))

abc = tf.reduce_sum(b, reduction_indices=1 …

import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.constant([1, 2, 3, 4, 5, 6, 7, 9])

b = tf.reshape(a, [2, 4 …

!python --version

Python 3.12.4

!pip show PyPDF2 spacy gliner | grep "Version"

Version: 3.0.1
Version: 3.8.2
Version: 0.2.13

import PyPDF2

def extract_text_from_pdf(pdf_path):
    with open(pdf_path, 'rb') as file:
        reader = PyPDF2.PdfReader(file)
        text = ""
        for page in reader.pages:
            text += page.extract_text()
    return …

# https://github.com/urchade/GLiNER/blob/main/examples/finetune.ipynb

!pip show accelerate

Name: accelerate
Version: 1.1.1
Summary: Accelerate
Home-page: https://github.com/huggingface/accelerate
Author: The HuggingFace team
Author-email: zach.mueller@huggingface.co
License: Apache
Location: /home/rajaraman/miniconda3/envs/ml312/lib/python3.12/si …

# https://python.langchain.com/docs/how_to/streaming/

!python --version

Python 3.12.4

from constants import OPENAI_API_KEY

!pip show langchain-openai | grep "Version:"

Version: 0.2.9

import os

os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY

from langchain_openai import ChatOpenAI

model = ChatOpenAI(model="gpt-4o-mini")

!pip install faiss-cpu

Requirement already satisfied: faiss-cpu …

ollama_host = "http://localhost:8080"

!python --version

Python 3.12.4

from constants import OPENAI_API_KEY

!pip show langchain-openai | grep "Version:"

Version: 0.2.9

import os

os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY

from langchain_openai import ChatOpenAI

model = ChatOpenAI(model="gpt-4o-mini")

from langchain_community.vectorstores import FAISS
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from …