Deval Shah

12
min read

Introduction to Training Data Poisoning: A Beginner’s Guide

Data poisoning challenges the integrity of AI technology. This article highlights essential prevention measures, including secure data practices, rigorous dataset vetting, and advanced security tools, to safeguard AI against such threats.
Deval Shah
December 1, 2023
15
min read
Machine Learning

Generative AI: An In-Depth Introduction

Explore the latest in Generative AI, including groundbreaking advances in image and text creation, neural networks, and the impact of technologies like GANs, LLMs, and more on various industries and future applications.
Deval Shah
December 1, 2023

What is In-context Learning, and how does it work: The Beginner’s Guide

Learn everything you need to know about In-context learning. Explore how it works, what are the different approaches, benefits, challenges, and real-world applications.
Deval Shah
December 1, 2023

Foundation Models Explained: Everything You Need to Know in 2023

In 2023, foundation models have taken center stage in conversations, signifying a significant transformation in the field of machine learning approaches. Gain insights into their functioning, practical applications, constraints, and the hurdles involved in adopting them to your specific use case.
Deval Shah
December 1, 2023

The ELI5 Guide to Prompt Injection: Techniques, Prevention Methods & Tools

What are the most common prompt injection attacks and how to protect your AI applications against the attackers? Read this article to explore prompt injection techniques, prevention methods, and tools.
Deval Shah
December 1, 2023
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