Descriptors and Controlled Attributes in Python
In this article, you will learn what Python descriptors are and how to use them to build three types of controlled attributes: validated, computed, and...
View ArticleChoosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach
In this article, you will learn how to choose the right chunking strategy for a retrieval-augmented generation system by working through a structured decision tree...
View ArticleBuilding a Custom LLM Evaluation Harness in Python from Scratch
In this article, you will learn how to build a custom LLM evaluation harness in Python from scratch, structured around four modular components that give...
View ArticleBuilding a RAG Pipeline with LLM Embeddings and Scikit-learn
In this article, you will learn how to build a lightweight, end-to-end RAG pipeline using scikit-learn for vector retrieval and open-source models for embeddings and...
View ArticleAI Agent Benchmarks Explained: SWE-Bench, GAIA, WebArena, and More
In this article, you will learn what the major AI agent benchmarks measure, how they differ from traditional model benchmarks, and how to use them...
View ArticleHow to Fine-Tune Llama 3 for Custom Tool Calling with Unsloth in Python
Llama 3 is a capable generalist, but that's exactly the problem when you need an agent that reliably outputs structured JSON for a specific API.
View ArticleEvaluating Graph-RAG vs. Standard RAG: A Hallucination Benchmark on...
In this article, you will learn how to benchmark a deterministic 3-Tiered Graph-RAG system against a standard vector RAG pipeline on fact-dense queries, and what...
View ArticleChoosing the Right Agentic AI Framework for 2026: A Decision-Tree Approach
In this article, you will learn how to choose the right agentic AI framework for your production system by working through a structured decision-tree based...
View ArticleSynchronous vs. Asynchronous Agent Execution: Architecture Patterns for...
In this article, you will learn how synchronous and asynchronous execution patterns differ architecturally, and how to choose between them when deploying LLM-based agents to...
View ArticleHow (and Why) to Build an AI Agent from Scratch in Python
In this article, you will learn what an AI agent is and how to build one from scratch in plain Python using the Anthropic API,...
View ArticleAdding Temporal Reasoning to Graph-RAG: Tracking Fact Freshness and Staleness
In this article, you will learn how to add a lightweight temporal reasoning layer to a Graph-RAG system so that it can distinguish fresh facts...
View ArticleAI Agent Observability: Logging, Tracing, and Debugging Explained
Chain Visualization: Reading the Trace Waterfall The spans from the last section don't mean much as a raw list.
View ArticleAutomating Knowledge Graph Population: Extracting Entities and Triples from...
In this article, you will learn how to automatically extract structured knowledge from raw text and populate a knowledge graph with SPOC quads using a...
View ArticleLocal Agentic AI Workflows with Hermes + Ollama
In this article, you will learn how to build a fully local, zero-cost agentic AI workflow using Hermes Agent and Ollama, so that your files,...
View ArticleTool Calling vs. Code Execution for AI Agents: Choosing the Right Action...
Theory is easier to trust once it's running against a real API, so both examples in this article use the same tool — a get_weather function backed by
View ArticleAgent or Workflow? A Practical Test for Knowing When You Actually Need an AI...
In this article, you will learn the key differences between AI workflows and agents, and how to decide which approach is right for your use...
View ArticleRAG vs. Fine-Tuning for Domain Adaptation: When to Use Which
In this article, you will learn the mechanical difference between retrieval-augmented generation and fine-tuning, when each technique is the right tool, and how to decide...
View ArticleMonitoring Embedding Drift in Production Scikit-LLM Pipelines
In this article, you will learn what embedding drift is, why it matters for production large language models, and how to implement two practical techniques...
View ArticleThe Roadmap to Mastering LLM Inference Optimization
In this article, you will learn how LLM inference optimization works and which techniques to apply to make language models faster, cheaper, and more reliable...
View Article
![[imports/adg/photos/213899875_Police-Car-Lights-2.jpg]](http://wehco.media.clients.ellingtoncms.com/imports/adg/photos/213899875_Police-Car-Lights-2_t600.jpg?4326734cdb8e39baa3579048ef63ad7b451e7676)
![Suupeas – Fall in Dream (2026-10-09) [Single, FLAC 24bit/48kHz]](http://getimg.link/images/2026/10/17/442240.md.jpg)