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Formatting unstructured data using OpenAI API and Python
How to use OpenAI to format unstructured text data, e.g. CSV. Setting additional formatting requirements to format specific values in the resulting CSV.
Published a month ago in #machinelearning about #python and #openai -
Quick start OpenAI API example using Python
How to start using OpenAI API with Python. A simple example of a Python script that generates data based on the OpenAI language model.
Published a month ago in #machinelearning about #python and #openai -
What is a function derivative and how to optimize functions
The article explains what a function derivative is on a very basic level. Starting from the concept of the function, we move along function changes and finally, look at a Python example of optimizing a function based on its derivative.
Published a month ago in #machinelearning about #math, #derivative and #python -
Matrices and vectors math for AI with Python examples
Article provides an introduction to vectors and matrices, two fundamental concepts in linear algebra, which are widely used in artificial intelligence. It explains what vectors and matrices are and how they are defined in math. Basic operations with vectors and matrices using Python, including adding, multiplying, and transposing matrices.
Published a month ago in #machinelearning about #math, #matrix and #vector -
Creating a bigram language model for text generation with Python
Understanding bigram language models, which are statistical models that predict the likelihood of a word given its preceding word. Includes an example of a simple bigram language model in Python.
Published a month ago in #machinelearning about #nlp, #language-models and #python -
What is a language model and how it works
Basics about language models, which are algorithms that enable computers to analyze and understand human language. The article explains how language models work and how they are trained, using a simple example of a program that can understand and respond to simple questions.
Published a month ago in #machinelearning about #nlp and #language-models -
What is Machine Learning and how it works
Machine Learning basics, the math behind machine learning, predictions, prediction errors, training dataset, validation dataset.
Published 2 months ago in #machinelearning