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Tutorials

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16:13
2026-06-02
kapa.ai
artificial-intelligence

How we index images for RAG

Kapa, a company building AI assistants for technical documentation, developed a method to incorporate images into its RAG pipeline without incurring per-query vision costs. The firm indexes images by describing each one …

00:00
2026-06-02
spidra.io
ai-tools

How to use pyppeteer_stealth for web scraping

Pyppeteer_stealth patches automation signals in Pyppeteer to evade anti-bot detection systems. The plugin hides the WebDriver flag, replaces the HeadlessChrome user agent string, and populates empty navigator properties …

00:00
2026-06-01
superml.org
ai-agents

Agent Evaluation: Measuring Task Completion and Reasoning Quality

A guide on agent evaluation methods for measuring task completion and reasoning quality has been published, covering techniques such as query rewriting, hypothetical document embeddings, and self-reflective retrieval. Th…

00:00
2026-06-01
superml.org
ai-agents

Connecting Agents to Real APIs and Databases

A guide on building agents that connect to real APIs and databases was published, covering techniques like query rewriting, self-reflective retrieval, and human-in-the-loop safety patterns. The resource aims to help deve…

00:00
2026-06-01
superml.org
large-language-models

Chunking Strategies for RAG That Actually Work

A guide on chunking strategies for retrieval-augmented generation (RAG) systems was published, detailing techniques such as query rewriting, hypothetical document embeddings, and self-reflective retrieval. The article em…

16:36
2026-05-31
dbreunig.com
ai-agents

What Do Humans Need From Docs?

Developers are increasingly writing AI agent skills instead of traditional documentation, as skills offer immediate value and are easier to iterate. The shift raises questions about whether human-centric docs are still n…

13:20
2026-05-31
vdf.ai
machine-learning

The Self-Evolving Model Router

VDF AI Networks has developed a six-tier dispatch architecture that transforms large language model selection from a static configuration into a continuously-learning decision system. The router processes every request t…

12:30
2026-05-31
dev.to
artificial-intelligence

Agentic AI: Architecture of Autonomous Systems

A developer detailed the architecture of agentic AI systems, building on the 2022 ReAct paper from Google Brain that enabled language models to reason, act, and revise their thinking in a loop. The post distinguishes gen…

06:53
2026-05-31
dev.to
ai-agents

103. Agent Memory: Short-Term, Long-Term, and Episodic

An engineer built a four-tier memory architecture for AI agents, implementing working, semantic, episodic, and procedural memory systems from scratch. The system enables agents to retain context across sessions, recall p…

23:56
2026-05-30
dev.to
ai-agents

🛠️Building My First AI Agent with Hermes Agent 🤖

A developer built Hermes Commander, an autonomous AI research assistant, using the Hermes Agent framework to move beyond simple chatbot interactions. The agent can plan, reason, use tools, and break large goals into smal…

22:53
2026-05-30
dev.to
ai-tools

How I Built One

A developer built **One**, an AI platform that parses resumes to generate personalized coding assessments and career roadmaps. The platform uses OpenAI's GPT-4o and Files API with a two-step prompt that validates whether…

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