Dive into the World of EXL2 Quantization and Its Impact on AI Efficiency Introduction Reducing the size and speeding up the processing of Large Language Models (LLMs) is commonly achieved through quantization, with GPTQ emerging as a standout method for…
What is Imbalance Data? Imbalanced data refers to a classification problem where the number of observations belonging to one class significantly outnumbers the number of observations belonging to the other classes. This can lead to a classifier that is biased…
Below are the top 10 Python Library to Learn in in 2024 for a Beginner TensorFlow is known for its ability to handle large-scale computations and is particularly useful for machine learning applications. 2. SciPy is a Python library that is used…
In Excel, the VLOOKUP function is used to search for a specific value in a table and return a corresponding value from a different column in the same row. In Python, you can achieve similar functionality using a combination of the pandas library and…
I can provide a general overview of some popular libraries that are commonly used in the field of data science and machine learning. 1. NumPy I have discussed it in my other blog so i wil not go in detail, please check…
NumPy is a powerful and flexible Python library that is used for scientific computing and data analysis. It provides a wide range of functions and tools that allow you to work with large, multi-dimensional arrays and matrices of numerical data,…
Excel in 2024 — Nah! Let’s learn and use Pandas Library in Python! Pandas is a powerful open-source data manipulation and analysis library for Python. It is widely used for cleaning, aggregating, and transforming data, and is an essential tool…
Few year ago, when I started I was completely lost as my domin was not realted to any thing related to programming.I know it is very basic information that I am writing here, but it may be really usefull for…