Observed Signal · May 28, 2026 · Educational Article · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
Beginner’s AI Glossary
A comprehensive beginner-focused glossary published on dev.to that defines core AI and machine learning concepts, data and training terminology, learning methods, modern LLM concepts, common AI applications, development and infrastructure topics, popular tools and platforms, and AI safety and societal issues. The article provides clear definitions and everyday examples for terms such as LLMs, RAG, embeddings, vector databases, prompt engineering, chain-of-thought prompting, agentic AI, and multimodal models, and lists widely used tools and platforms (e.g., GPT-4, Claude, Gemini, Pinecone, Hugging Face, DALL·E, Midjourney). The metadata indicates the page was published on 2026-05-28.
Educational glossary with general AI definitions and examples; useful as reference but not a platform policy, product launch, or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- The article is an educational glossary explaining core AI concepts and terminology.
- It covers categories: Core AI Concepts; Data & Training Concepts; Learning Methods; Modern LLM Concepts; AI Applications; Development & Infrastructure; Popular Tools & Platforms; AI Safety & Society.
- Examples and vendors mentioned include GPT-4, Claude, Gemini, Llama, Pinecone, Weaviate, Hugging Face, DALL·E, Midjourney, and Stable Diffusion.
- Infrastructure and tooling topics include GPUs (NVIDIA A100), TPUs (Google), cloud providers (AWS, Azure, GCP), model quantisation, and vector databases.
- The webpage metadata indicates a publication date of 2026-05-28.
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TechCrunch AI Glossary of Common Terms
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TechCrunch glossary explains common AI terms
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TechCrunch Guide: Common AI Terms Explained
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