News
The Roadmap for Mastering LLMOps in 2026
5+ hour, 19+ min ago (1014+ words) Making developers awesome at machine learning In this article, you will learn how to build production-grade LLM systems by following a structured six-step LLMOps roadmap covering observability, evaluation, cost control, and agent orchestration. Topics we will cover include: There is…...
Serving Multiple Users at Once: How Continuous Batching Keeps LLM Inference Efficient
1+ day, 14+ hour ago (759+ words) Making developers awesome at machine learning In the previous article, we saw how a language model processes a prompt during prefill, then generates tokens one at a time during decode, and uses KV cache to avoid repeated computation. In the…...
Building a Context Pruning Pipeline for Long-Running Agents
4+ day, 5+ hour ago (472+ words) Making developers awesome at machine learning In this article, you will learn how to implement a context pruning pipeline for long-running AI agents, enabling them to manage conversational memory efficiently through semantic similarity. Topics we will cover include: Building a…...
Building AI Agents with Local Small Language Models
1+ mon, 1+ week ago (799+ words) Making developers awesome at machine learning In this article, you will learn how to build a fully functional AI agent that runs entirely on your own machine using small language models, with no internet connection and no API costs required....
Train, Serve, and Deploy a Scikit-learn Model with Fast API
1+ mon, 1+ week ago (935+ words) Making developers awesome at machine learning In this article, you will learn how to train a Scikit-learn classification model, serve it with Fast API, and deploy it to Fast API Cloud. Topics we will cover include: Train, Serve, and Deploy…...
AI Agent Memory Explained in 3 Levels of Difficulty
1+ mon, 1+ week ago (1113+ words) Making developers awesome at machine learning In this article, you will learn how AI agent memory works across working memory, external memory, and scalable memory architectures for building agents that improve over time. Topics we will cover include: AI Agent…...
Getting Started with Zero-Shot Text Classification
1+ mon, 1+ week ago (776+ words) Making developers awesome at machine learning In this article, you will learn how zero-shot text classification works and how to apply it using a pretrained transformer model. Topics we will cover include: Getting Started with Zero-Shot Text Classification Image by…...
5 Techniques for Efficient Long-Context RAG
1+ mon, 2+ week ago (491+ words) Making developers awesome at machine learning In this article, you will learn how to build efficient long-context retrieval-augmented generation (RAG) systems using modern techniques that address attention limitations and cost challenges. Topics we will cover include: 5 Techniques for Efficient Long-Context…...
A Hands-On Guide to Testing Agents with RAGAs and G-Eval
1+ mon, 3+ week ago (451+ words) Making developers awesome at machine learning In this article, you will learn how to evaluate large language model applications using RAGAs and G-Eval-based frameworks in a practical, hands-on workflow. Topics we will cover include: A Hands-On Guide to Testing Agents…...
Handling Race Conditions in Multi-Agent Orchestration
1+ mon, 3+ week ago (1236+ words) Making developers awesome at machine learning In this article, you will learn how to identify, understand, and mitigate race conditions in multi-agent orchestration systems. Topics we will cover include: Let's get straight to it. Handling Race Conditions in Multi-Agent Orchestration…...