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How Machines Learn: The Power of Gradient Descent
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to …
Engineering Prompt Chains With Language Models to Craft a “Summarizer Almighty” Web App
Author(s): LucianoSphere Originally published on Towards AI. Photo by Andreas Klassen on Unsplash Summarizing long texts or scanning them for pieces of information can be a tedious task, especially when you’re pressed for time. And certainly very hard when you are looking …
Better Together Four Examples of How Rust Makes Python Better
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Better Together — Four Examples of How Rust Makes Python Better Leverage Rust to Optimize your Codebase by Boosting Performance and Safety Photo by K8 on Unsplash Introduction Python is a popular programming …
Unpacking the Differences: Machine Learning in Research versus Production Environments
Author(s): Youssef Hosni Originally published on Towards AI. Machine Learning has become a buzzword in the tech industry and beyond, with its applications ranging from image recognition to natural language processing. However, the way machine learning is implemented varies greatly depending on …
Rustic Learning: Machine Learning in Rust Part 2: Regression and Classification
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Rustic Learning: Machine Learning in Rust — Part 2: Regression and Classification An Introduction to Rust’s Machine Learning crates Photo by Malik Skydsgaard on Unsplash Rustic Learning is a series of articles that …
Python Tips and Tricks for Efficient Coding and Data Manipulation
Author(s): Himanshu Tripathi Originally published on Towards AI. Photo by Kenny Eliason on Unsplash Python is a powerful programming language that has grown in popularity among data scientists, professionals, and newcomers. Its versatility and ease of use make it a popular …
Chain-of-Thought Reasoning | by C. Jarnach | Medium
Author(s): Clemens Jarnach ⚡️ Originally published on Towards AI. Chain-of-Thought Reasoning How Multimodal Chain-of-Thought Reasoning Can Improve Large Language Models and your ChatGPT prompting too Photo by DeepMind on Unsplash The Generative Pre-trained Transformer (GPT) model, which is currently used by …
Beginners Guide for Finding, Installing, and Using Python Packages with PyPI
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Understand the primary usage of Python Packages Photo by Mildlee on Unsplash Python is one of the most used programming skills, and it’s thanks to its versatility. You can do almost anything …
Building Customized Chatbots for the Web Using gpt-3.5-turbo, the Real Language Model Behind ChatGPT
Author(s): LucianoSphere Originally published on Towards AI. Summary, source code ready to use, and an example chatbot to go play with right away OpenAI released yesterday API endpoints for Whisper, their speech recognition engine, and for GPT-3.5-turbo, which, as explained on their …
A GPT-3 Bot that Uses Pubmed Abstracts to Answer Science Questions
Author(s): LucianoSphere Originally published on Towards AI. By feeding GPT-3 with Pubmed abstracts, this GPT-3-powered chatbot can use the information contained in it to answer the user’s questions in a better way, also assisted by token probabilities to filter answers that might …
Sentiment Analysis (Opinion Mining) with Python — NLP Tutorial
Source: Derivative from original by Engin Akyurt on Pixabay An in-depth NLP tutorial diving into sentiment analysis (opinion mining) with Python Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as well on Google Colab. Table of Contents …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
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