AI & ChatGPT

Explain AI agents in plain language, including the difference between answering and acting, autonomous multi-step tool use, research agents browser agents coding agents task agents, why agents should pause before risky actions, and how to try built-in agent or deep research features safely.

Explain large language models in plain language, including how LLMs power ChatGPT Gemini Claude and Copilot, how they predict tokens, what parameters and training mean, why they are useful for language tasks, where they struggle, why they hallucinate, what knowledge cutoffs mean, and how small and large models differ.

Explain neural networks without math, including nodes layers training connection weights pattern recognition deep learning, how image recognition speech transcription chatbots recommendations spam filters and fraud detection use them, why they are not artificial brains, and why large networks require GPUs data and energy.

Understand what a Copilot+ PC means, which chips qualify, why the NPU and 40 TOPS requirement matter, which Windows 11 AI features need Copilot+ hardware, when Snapdragon X Arm compatibility matters, and whether better battery life or local AI features justify choosing one.

Explain Perplexity Spaces as project folders for searches files and custom instructions, use Spaces for multi-step research, create a Space with name description instructions and uploads, run searches inside the Space, share Spaces with view or contribute permissions, use source citations as a running bibliography, understand free versus Pro upload caps, and archive or rename finished Spaces.

Explain Microsoft Copilot pricing across Windows Edge standalone app Copilot Pro and Microsoft 365 Copilot, distinguish free taskbar Edge and mobile Copilot from Office-integrated paid features, explain Microsoft account usage limits, personal and family AI credits, business per-user add-ons, how to identify free versus paid Copilot buttons, when upgrading is worthwhile, organization admin controls, and checking Microsoft pricing for current numbers.

Compare Google NotebookLM and ChatGPT, explain source-grounded answers citations and Audio Overview versus general-purpose chat writing coding brainstorming and web search, choose NotebookLM for studying PDFs research papers lecture notes client documents and podcast-style summaries, choose ChatGPT for open-ended tasks and research without gathered sources, compare free and paid limits, and combine NotebookLM source work with ChatGPT writing and formatting.

Compare Stable Diffusion and Midjourney for AI image generation, explain subscription hosted service versus open-source self-hosted software, compare cost access polish learning curve ControlNet custom models character consistency commercial terms hardware needs and Discord or web interface, consider ChatGPT image generation and Adobe Firefly alternatives, and combine Midjourney prototyping with Stable Diffusion precision.

Compare DALL-E alternatives for AI image generation including Midjourney Stable Diffusion Adobe Firefly Google Gemini image generation Microsoft Designer and free browser generators, choose Midjourney for stylized polish, Stable Diffusion for control and local use, Firefly for Adobe workflows and commercial comfort, understand cost setup prompt behavior commercial terms and copyright differences, and test the same prompt across tools.

Explain Gemini Gems as custom Gemini assistants with saved instructions, use built-in Gems such as Writing Editor Coding Partner and Learning Coach, create a new Gem with a name and instructions, optionally upload reference files when supported, edit delete or share Gems in Workspace, understand Gems are not separate models and have normal usage limits, and manage Google app connections separately.