Transformers, embeddings, context windows… jargon you’ve heard, but do you really know what they mean? This article breaks down the seven foundational concepts behind large language models in plain English.
Author Archive | Bala Priya C
Step-by-Step Guide to Deploying Machine Learning Models with FastAPI and Docker
We’ll take it from raw data all the way to a containerized API that’s ready for the cloud.
The Beginner’s Guide to Natural Language Processing with Python
Learning natural language processing can be a super useful addition to your developer toolkit. From the basics to building LLM-powered applications, you can get up to speed natural language processing—in a few weeks—one small step at a time. And this article will help you get started. In this article, we’ll learn the basics of natural […]
7 Open-Source Machine Learning Projects You Can Contribute To Today
Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning projects is one of the best ways to improve your coding skills. When you work on open-source ML tools, you’ll learn more about how ML frameworks work internally. You’ll also get to improve your coding […]
A Practical Guide to Deploying Machine Learning Models
As a data scientist, you probably know how to build machine learning models. But it’s only when you deploy the model that you get a useful machine learning solution. And if you’re looking to learn more about deploying machine learning models, this guide is for you. The steps involved in building and deploying ML models […]
A Roadmap for Your Machine Learning Career
Are you looking to make a career in machine learning? If so, this guide is for you. Machine learning is an interesting field with a lot of potential to solve real-world problems. However, going from a novice to a professional requires a structured approach that not only focuses on technical skills but also on understanding […]
7 Free Machine Learning Tools Every Beginner Should Master in 2024
As a beginner in machine learning, you should not only understand algorithms but also the broader ecosystem of tools that help in building, tracking, and deploying models efficiently. Remember, the machine learning lifecycle includes everything from model development to version control, and deployment. In this guide, we’ll walk through several tools—libraries and frameworks—that every aspiring […]
7 Machine Learning Algorithms Every Data Scientist Should Know
As a data scientist, you should be proficient in SQL and Python. But it can be quite helpful to add machine learning to your toolbox, too. You may not always use machine learning as a data scientist. But some problems are better solved using machine learning algorithms instead of programming rule-based systems. This guide covers […]
7 LLM Projects to Boost Your Machine Learning Portfolio
Large language models (LLMs) are super helpful in a variety of tasks. Building LLM-powered applications can seem quite daunting at first. But all you need are: the ability to code, preferably in Python or TypeScript and a few not-so-fun tasks or problems that you’d like to make simpler (I’m sure you have many!). To build […]
5 Real-World Machine Learning Projects You Can Build This Weekend
Building machine learning projects using real-world datasets is an effective way to apply what you’ve learned. Working with real-world datasets will help you learn a great deal about cleaning and analyzing messy data, handling class imbalance, and much more. But to build truly helpful machine learning models, it’s also important to go beyond training and […]