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1+ week, 17+ hour 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…...

2+ week, 1+ day ago  (834+ words) Making developers awesome at machine learning In the previous article, we saw how a language model converts logits into probabilities and samples the next token. But where do these logits come from? In this tutorial, we take a hands-on approach…...

1+ week, 6+ day ago  (1661+ words) Making developers awesome at machine learning In this article, you will learn how machine learning is evolving in 2026 from prediction-focused systems into deeply integrated, action-oriented systems that drive real-world workflows. Topics we will cover include: Let's not waste any more…...

2+ week, 21+ hour ago  (440+ words) Making developers awesome at machine learning In this article, you will learn how to implement state-managed interruptions in Lang Graph so an agent workflow can pause for human approval before resuming execution. Topics we will cover include: Read on for…...

1+ day, 20+ hour ago  (601+ words) Making developers awesome at machine learning In this article, you will learn the architectural differences between structured outputs and function calling in modern language model systems. Topics we will cover include: Structured Outputs vs. Function Calling: Which Should Your Agent…...

5+ day, 20+ hour ago  (1123+ words) Making developers awesome at machine learning In this article, you will learn how to systematically select and apply agentic AI design patterns to build reliable, scalable agent systems. Topics we will cover include: The Roadmap to Mastering Agentic AI Design…...

1+ week, 1+ day ago  (347+ words) Making developers awesome at machine learning In this article, you will learn how reranking improves the relevance of results in retrieval-augmented generation (RAG) systems by going beyond what retrievers alone can achieve. Topics we will cover include: Top 5 Reranking Models…...

4+ day, 11+ hour ago  (924+ words) Making developers awesome at machine learning In this article, you will learn how to build a deterministic, multi-tier retrieval-augmented generation system using knowledge graphs and vector databases. Topics we will cover include: Beyond Vector Search: Building a Deterministic 3-Tiered Graph-RAG…...

1+ day, 12+ hour ago  (870+ words) Making developers awesome at machine learning In this article, you will learn how to build a local, privacy-first tool-calling agent using the Gemma 4 model family and Ollama. Topics we will cover include: How to Implement Tool Calling with Gemma 4 and…...