Prompt Engineering — Topic Summaries — Page 2
AI-powered summaries of 124 videos about Prompt Engineering.
124 summaries
Tree of Thought Prompting
Tree of Thought prompting reframes large language model problem-solving as an explicit search process: generate candidate intermediate “thoughts,”...
Why Learning To Use AI Tools Like Veo 3 Is More Important Than Ever
Leaving a job after a costly failed build—10 months and about $20,000 lost—set up a blunt lesson: “build it and they will come” doesn’t happen...
Livecoding: Getting Started with LLMs, by Jeremy Howard
The core takeaway is that strong performance on an LLM multiple-choice science benchmark comes less from clever prompting and more from disciplined...
Does ChatGPT Have a Theory of Mind? - Prompt Engineering Principles
ChatGPT can produce answers that resemble “theory of mind” reasoning—inferring what someone else believes, knows, or feels—when prompted to list the...
Generate 42+ Viral Content Ideas In Seconds With Kortex AI
A set of three Cortex AI prompts turns personal experience and audience research into large batches of ready-to-write content ideas—often hundreds of...
How to develop an Interview Guide with ChatGPT (3 strategies)
Qualitative interview guides can be upgraded quickly by using ChatGPT in two targeted ways: generating large pools of candidate questions and...
State of GPT
Large language models are built through a pipeline that starts with internet-scale next-token pre-training and then progressively adds human...
"Advanced Data Analysis" with ChatGPT-4 | Cross-case and Within-case thematic analysis
The core takeaway is a practical workflow for using ChatGPT-4 (via ChatGPT Plus’s “Advanced Data analysis” feature) to perform both within-case and...
Create Far Analogies with AI in Tana
Far analogies—comparisons that keep the underlying “essence” while switching to a different domain—can unlock better problem solving, but humans are...
Academic Writing with ChatGPT (Part 1 - Beginner)
Academic writing with ChatGPT is less about copying finished text and more about steering the model through careful prompting, structured workflows,...
How I Save Time with AI Magic in Obsidian
Formatting notes in Obsidian can quietly drain time and attention—especially when raw ideas pile up without consistent structure. A faster workflow...
The Apple AI Reasoning Paper is Flawed—Here's Why
Apple’s “reasoning” benchmark is being criticized as fundamentally flawed because it conflates genuine logical reasoning with a model’s...
Use AI to answer questions in your notes
A practical way to turn an AI assistant inside Reflect Notes into a “question-and-answer” and “command-execution” tool is to build custom prompts...
Research With ChatGPT - #ChatGPT and Google #Bard for Theoretical Implications?
Writing strong theoretical implications is less about producing polished paragraphs and more about translating results into consequences for theory...
Learn New Things Fast with Deep Research & NotebookLM
A fast workflow for turning “post-AGI economics and society” research into a readable document—and even an on-the-go podcast—centers on chaining...
6 Takeaways on the Future of Development from the Lex Fridman Cursor Podcast
Cursor’s founders frame AI-assisted coding as a shift in who gets to build software and how quickly teams can learn from their changes. The most...
Por que revisões de literatura feitas por IA falham — e como usar IA na pesquisa
A revisão de literatura está sendo pressionada por um volume crescente de publicações — e, nesse cenário, revisões feitas por IA frequentemente...
The Ultimate AI Toolkit for 2026 PhD Success — Free Tools + Pro Options
AI tools can accelerate every stage of a PhD writing workflow—from turning rough ideas into structured drafts to interpreting figures and polishing...
Chat GPT for Research Writing Assistance
ChatGPT is positioned as a practical research-writing assistant: it can draft paper structures, generate titles and keywords, improve language,...
What is Prompt Engineering ?
Prompt engineering is the practice of crafting the exact instructions and context given to a language model so its answers match what a user actually...
Prompt Engineering: Zero-shot, One-shot, Few-shot Techniques Explained (Practical Implementation)
Prompting lets a pre-trained language model follow tasks using only instructions and examples—no weight updates—so performance can be improved by...
Write text in any style using this AI prompt
A practical workflow for turning any writing style into a reusable “custom prompt” is the core takeaway: feed an AI model several samples from the...
Prompt Engineering: 5 Rules to Write Perfect AI Prompts (with Examples)
Good prompts don’t just “ask an AI”—they function like mini spec sheets that force predictable, business-ready outputs. The core finding is that five...
Build Dataset For Fine-Tuning and Evaluation with LLM | Sentiment Analysis for Financial News
A practical workflow for building a sentiment-labeled dataset from financial news using a fast large language model (LLM) is the core takeaway: take...