RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each
, I have written quite a lot about RAG, starting with the Hitchhiker’s Guide to RAG with ChatGPT API and LangChain, and then exploring various topics related to RAG and…
-
-
CODEGEN: A Transformative Open-Source Language Model for Versatile Program Synthesis
With the rise of large language models (LLMs), we are thinking and approaching things differently for many tasks, from natural language processing and text generation to programming. From OpenAI’s GPT-3…
-
Handling Class Imbalance in ML: Better Alternatives to SMOTE
Most real-world classification problems are imbalanced. Fraud, disease, churn, and defects are rare by nature. Standard classifiers chase accuracy, so they quietly ignore the very class you care about. For…
-
10 Probability Concepts for Machine Learning Explained Simply
# Introduction to Probability Concepts For a long time I treated probability as the vegetables of machine learning. The boring stuff you choke down before you get to the good…
-
The AI Agent Tech Stack Explained
In this article, you will learn how the seven layers of a production AI agent stack fit together, from the foundation model down to deployment infrastructure. Topics we will cover…
-
Building Python Skills for the Job Market
When you’re learning Python, the sheer volume of topics to explore can feel overwhelming because there’s so much you could focus on. Should you dive into web frameworks before exploring…
-
Multi-Model Auto Labeling with Roboflow Workflows
Roboflow now integrates Workflows directly into Auto Label, so you can run custom pipelines serverlessly on your unannotated images. Rather than being tied to one default model, you can bring…
-
Manual Tracing, Scores, and Evaluation with Langfuse (Self-Hosted)
Access the code to this tutorial and all other 500+ tutorials on PyImageSearch Enter your email address below to learn more about PyImageSearch University (including how…
-
Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work
I’ve worked on, conversation state tends to grow quickly over time. It’s common to resend large portions of the history on each turn—including older tool outputs, repeated RAG retrievals, and…
-
Understanding Adversarial Attacks Using Fast Gradient Sign Method
In machine learning and artificial intelligence, adversarial attacks have gained much attention from researchers. These attacks alter the inputs to mislead the model into making wrong predictions. Among these, the…
