AI/ML Techniques

Decorators for Timing, Retries, Caching, and Validation in Python

In this article, you will learn how Python decorators work under the hood and how to build reliable ones for…

20 hours ago

How to Train Your own Decision Model like Jev using Unsloth

In this article, you will learn how to turn an open-weight language model into a decision model that classifies user…

2 days ago

Choosing an LLM Inference Optimization Technique: A Decision-Tree Approach

In this article, you will learn how to match an LLM inference optimization technique to the actual bottleneck in your…

3 days ago

The AI Agent Memory Stack: Building Blocks, Patterns, and Frameworks

In this article, you will learn how agent memory works, what types of memory exist, and how different frameworks approach…

4 days ago

7 Ways Your AI Agent Is Wasting Tokens (And What to Do Instead)

In this article, you will learn seven common token-waste patterns in production AI agent systems, and the architectural fixes that…

7 days ago

Fine-Tuning vs. Frozen Embeddings: When to Adapt the LLM vs. the Sklearn Head

In this article, you will learn how to compare two strategies for adapting a large language model to a specific…

1 week ago

Context Managers Beyond Opening Files in Python

The stopwatch in the opening script is the smallest case of the pattern.

1 week ago

Robust Serialization with JSON and Custom Types

In this article, you will learn how to build a robust JSON serialization pipeline in Python that handles custom data…

2 weeks ago

Speculative Decoding Explained: How to Get 3× Faster Inference from Any LLM

In this article, you will learn how speculative decoding works, why it produces real speed gains at the hardware level,…

2 weeks ago

How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python

In this article, you will learn how to build a multi-modal RAG pipeline in Python that retrieves and reasons over…

2 weeks ago