Extended AI Concepts
Extended Gen AI topics including vector databases, RAG, agents, MCP, fine-tuning, semantic search, AI safety, and emerging architectures.
31
Easy Concepts
66
Medium Concepts
16
Hard Concepts
Easy Concepts (31)
Which popular AIs have Desktop Apps or Separate Apps and VS Code extensions/CLI?
gen-ai
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What are the top AI models ranked by popularity for coding in 2025?
gen-aillm
What are the top AI models currently and their parent companies?
gen-aillm
What is the difference between working on AI, using AI, creating AI agents, and creating AI automation?
gen-aiagents
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What is Google ADK Agent Config? How to build no-code agents using YAML configuration?
google-adkno-codeyamlagent-configlow-code
What are the current top-performing AI models as of May 2026? Compare their benchmark scores across key metrics.
gen-aibenchmarksmodelscomparison2026
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Medium Concepts (66)
What is the difference between Agentic AI and Generative AI?
gen-aiagents
What is the difference between LangChain, LangGraph, LangFlow, and LangSmith?
gen-ailangchain
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Which AI models support pre-defined instructions (system prompts, docs, links)?
gen-aiprompt-engineering
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How does an MCP server connect with an AI agent? What is the workflow?
gen-aimcpagents
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How are tokens calculated in an AI conversation? (e.g., Gemini CLI + GEMINI.md)
gen-aitokens
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Is the Gemini model stateful or stateless? How does Gemini CLI maintain state?
gen-aillm
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How to refactor code with Gemini CLI — what are the best prompts?
gen-aiprompt-engineering
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What is the difference between prompt engineering and context engineering?
gen-aiprompt-engineering
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How is conversation history managed without and with LangChain framework?
gen-aiagentslangchain
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What is Semantic Search?
gen-aisemantic-searchembeddingsvector-search
Difference between LLM training vs inference?
traininginferencellmgradientskv-cache
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How to prepare dataset for training LLM?
datasetfine-tuningdata-preparationllmtraining
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What is Alpaca? Difference between Alpaca vs Stanford Alpaca?
fine-tuninginstruction-tuningalpacallmopen-source
What are the supported models in Google ADK? Explain all model providers and how to use them.
google-adkmodelsgeminiopenaianthropic
What is Mixture of Experts in AI Models? Example - Qwen 3.5-122B-A10B
gen-aimixture-of-expertsmoearchitectureqwen
What are all the different model formats in LLM?
gen-aillmmodel-formatsggufgptq
What is Turbo Quant in ML/LLM?
gen-aiquantizationturbo-quanthqqnf4
What are the various number formats used in AI models, and what do abbreviations like FP32, BF16, MXFP8, NVFP4, INT4, and Q4 mean?
gen-aiquantizationnumber-formatsfp32bf16
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Hard Concepts (16)
What is the difference between Reasoning models, Thinking models, and Deep Learning models?
gen-aillm
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What is quantization and what are all the different ways to do it?
quantizationint4int8ggufgptq
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What is PEFT? What are all the different types of PEFT?
peftfine-tuningloraqloraprompt-tuning
What are all the different ways to fine-tune an LLM?
fine-tuningloraqlorasftrlhf
Compare Google ADK vs LangChain vs CrewAI vs AutoGen - features, strengths, and use cases.
google-adklangchaincrewaiautogencomparison
Explain the Gemini Live API streaming capabilities in Google ADK for real-time voice/video.
google-adkstreaminggemini-livevoicevideo
How does NVFP4 differ from standard INT4 quantization in terms of hardware-level support and weight distribution handling for LLMs? Are there specific use cases where one significantly outperforms the other in accuracy?
gen-aiquantizationnvfp4int4nvidia
What is the internal difference between using INT4 vs NVFP4? Which is better, what internal optimizations have been done, and is this related to model training base or usage/agent architecture?
gen-aiquantizationnvfp4int4nvidia
How do INT4 and NVFP4 each split their 4 bits, and what does that mean for precision distribution, activation handling, and the W4A16 vs W4A4 trade-off?
gen-aiquantizationnvfp4int4w4a16