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Explain ChatGPT Projects as folder-like workspaces for related chats files and project instructions, how to create name color upload files add instructions and start chats, when to use projects for trips clients reports exams or writing, how to move existing chats avoid mixed files archive finished projects, compare Projects with Custom GPTs, and note storage limits and account availability.

Explain Claude Projects as workspaces for related conversations documents instructions and background context, how to create name describe upload files add instructions and start chats, what files to include, how to keep projects focused, Team sharing, content limits, separate chat histories, and free versus Pro or Team limits.

Explain AI hallucinations as confident false answers from language models, why they happen because models predict plausible text rather than verify facts, when risks rise for obscure recent precise citations quotes dates names numbers and cutoff-sensitive facts, how to catch hallucinations with source checks web search consistency tests and primary sources, and why grounding lowers but does not eliminate risk.

Explain prompt engineering as the skill of writing testing and refining AI instructions, when it matters for repeated business prompts more than one-off chats, techniques such as role assignment few-shot examples step-by-step reasoning output constraints and iterative testing, context engineering, and how beginners can practice on recurring tasks.

Explain retrieval-augmented generation in plain language, including retrieval and generation steps, how RAG lets AI answer from web pages documents PDFs company knowledge bases and current sources, where users see it in ChatGPT Gemini Copilot NotebookLM and support bots, how citations reduce hallucinations, and why bad retrieval still causes bad answers.

Explain Perplexity AI as an answer engine with cited sources, what the free plan generally includes, account history basic searches daily advanced-model limits file uploads and image limits, how Pro trials usually work with payment methods automatic renewal and cancellation, mobile apps voice mode and how Perplexity differs from traditional search.

Explain Midjourney for beginners, including text prompts image grids upscaling variations Discord and web access subscriptions limited trials commercial use on paid plans privacy and Stealth Mode, where generated images are saved, how to create a first image, and how Midjourney compares with ChatGPT image generation Gemini and Stable Diffusion.

Explain multimodal AI as systems that handle text images audio and video, compare unimodal and multimodal assistants, describe practical uses such as photo questions voice mode live camera screen sharing image generation and document chart analysis, warn about mistakes with complex images noisy audio and sensitive topics, and note feature limits by plan.

Explain open source and open weight AI models, including downloading running self-hosting modifying and fine-tuning models, examples such as Llama Mistral DeepSeek and Stable Diffusion, compare privacy cost capability ease of use and customization against closed chatbots, clarify open weights versus open data, and warn that open does not automatically mean safer or more truthful.

Explain AI fine-tuning as extra focused training on an existing model, compare it with prompts custom instructions system prompts and RAG, explain why it is useful for style tone format and repetitive specialized tasks, why it is usually developer-facing, and why RAG is better for changing facts.