Prompt Engineering — Topic Summaries
AI-powered summaries of 124 videos about Prompt Engineering.
124 summaries
The Gemini Lie
Google’s Gemini Ultra is being marketed as a leap beyond GPT-4, but the most consequential takeaway is that the flashy “real-time video” demo is...
$5 MILLION AI for FREE
A 176-billion-parameter large language model called BLOOM is now available for free download and free hosted inference, putting a...
I Tried AI as a Life Coach for 365 Days - Here’s What I Learned
AI can function as a practical life coach when it’s treated less like an authority and more like a high-powered mirror—one that reflects a person’s...
ChatGPT Prompt Engineering: The Secret to 10x Smarter Responses!
A simple prompt structure—forcing the model to adopt an “expert” role, then ask targeted questions before answering—consistently produces more...
GPT 4 is Smarter than You Think: Introducing SmartGPT
SmartGPT’s core claim is that GPT-4’s benchmark performance can be materially improved—not by changing the model, but by wrapping it in a multi-step...
You’re Not Behind (Yet): How to Learn AI in 19 Minutes
AI fluency is less about “getting AI to do everything” and more about building a disciplined workflow—starting with habits and tools, then using AI...
A Survey of Techniques for Maximizing LLM Performance
Maximizing LLM performance in production depends less on finding a single “best” technique and more on diagnosing what’s actually failing—context,...
Build Anything With ChatGPT API, Here’s How
Building an AI app with the ChatGPT API can be done quickly once an API key and a basic prompt-and-PDF pipeline are in place. The workflow starts...
ChatGPT Prompt Engineering: How to Write a Story
A practical prompt template turns ChatGPT into a repeatable story-writing engine by forcing writers to lock in genre, characters, conflict, theme,...
ChatGPT Prompt Engineering: Master Productivity with The “Sequence Prompt”
A “sequence prompt” workflow turns one-shot editing into a controlled, choice-based editing loop: it generates a numbered menu of rewrite options,...
ChatGPT Writes a Chatbot AI
A homegrown “ChatGPT writes a chatbot” app works by leaning on one key advantage: a generative model can be driven into a tight chat loop using a...
Beware the New AI Pseudoscience.
Large language models are increasingly being treated like sentient companions—yet a growing body of “awakened AI” roleplay lore is showing how that...
GPT-4 Vision: 10 Amazing Use Cases - This is HUGE!!
GPT-4 Vision-style multimodal prompting is shown delivering practical results across coding, math, media analysis, creativity, and real-world...
9 of the Best Bing (GPT 4) Prompts
Bing chat can be turned into a high-performance “persona” and research assistant by using prompts that enforce role, structure, and examples—often...
Thematic analysis with ChatGPT | PART 1- Coding qualitative data with ChatGPT
The central takeaway is that ChatGPT can speed up qualitative thematic analysis—especially the early “coding” stage—when researchers treat it as an...
What Can Huge Neural Networks do?
A single 6 billion-parameter transformer language model can act like a surprisingly capable “general-purpose” tool: it converts text into token...
Exploring an AI’s Imagination (Stable Diffusion and MidJourney)
Text-to-image AI has moved from “make a pretty picture” to “generate almost any scene you can describe,” with two main paths emerging: MidJourney for...
ChatGPT: 5 Prompt Engineering Secrets For Beginners
Prompt engineering for ChatGPT starts with one practical rule: supply enough context to steer the model toward the right job. Without contextual...
OpenAI just destroyed all coding apps - Codex
OpenAI’s Codex is positioned as a cloud-based coding agent that can take real engineering tasks—answering code questions, running tests, and drafting...
FIVERR CEO Leaks His Own Email
Fiverr CEO Micah Kaufman’s leaked email frames AI as an imminent job disruptor for freelancers and professionals—arguing that routine work will be...
Anthropic's Meta Prompt: A Must-try!
Anthropic’s “Metaprompt” tool turns weak, one-off prompts into a structured, model-ready instruction set—by using Claude itself to generate the final...
I automated 50+ businesses with AI Agents, here's how
AI agents are poised to reshape work by taking over repeatable, multi-step tasks—especially when they’re customized to a person’s or company’s real...
How to Fine-tune a GPT-3 Model - Step by Step 💻
Fine-tuning a GPT-3 model is presented as a practical pipeline for producing repeatable, criteria-driven text—most importantly by building a...
ChatGPT-4 Prompt Engineering: The Tree of Thoughts Method - WOW!
Tree of Thoughts prompting is presented as a way to make large language models solve problems more reliably by exploring multiple reasoning paths...
Letting GPT-4 Control My Terminal (TermGPT)
TermGPT is a workflow that gives GPT-4 direct control over a developer’s terminal—without skipping the human checkpoint—so prototyping and R&D can...
Building Custom Tools and Agents with LangChain (gpt-3.5-turbo)
Custom tools are the key lever for making LangChain conversational agents more useful—and the biggest practical lesson is that tool use often...
Prompt Engineering Vs RAG Vs Finetuning Explained Easily
The clearest way to choose between prompt engineering, RAG, and fine-tuning is to match the technique to where the needed knowledge should come from:...
How Smart Academics Use AI (Without Breaking the Rules)
AI use in academia is most valuable when it augments a researcher’s thinking—not when it replaces it. The core message is that “smart” academic AI...
How to build your own GPT agent
OpenAI’s GPT Builder is positioned as a no-code path to creating custom AI agents—then upgrading them into higher-performing “GPTs” by adding...
ChatGPT Prompt Engineering: LEVEL UP Your Skills!
The core takeaway is a set of practical ChatGPT prompt templates designed to speed up learning by turning raw information into study-ready...
ChatGPT Prompt Engineering: The «Let`s think about this” Prompt
A single “Let’s think about this” prompt reliably generates multiple high-quality perspectives on habit building—turning one basic passage into...
Image Annotation with LLava & Ollama
A practical way to turn a cluttered screenshot folder into a searchable archive is to run a local vision-language model over each image and save the...
Gemini 2.5 Pro for Audio Transcription
Gemini 2.5 Pro’s jump to a 64,000-token generation limit is the practical unlock for high-quality podcast transcription at scale—long enough to turn...
ChatGPT 4 Learns to Use Midjourney - It Mastered Promptcrafting! (AI EXPIRIMENTS)
A new workflow pairs OpenAI’s GPT-4 with Midjourney by having GPT-4 generate fully formed “/imagine” prompts—including Midjourney parameters—so users...
2024’s Must-Know AI Upgrades—The Tools Academics Can’t Live Without!
OpenAI’s ChatGPT Playground is emerging as a practical research upgrade because it turns vague ideas into reusable, highly structured prompts—and...
ChatGPT Prompt Engineering Principles: Chain of Thought Prompting
Chain-of-thought prompting—breaking a riddle into a sequence of sub-problems, solving each in order, then combining the results—can dramatically...
The Easiest Design Tool is also the Most POWERFUL. (thanks to AI)
Playground Design’s standout pitch is that advanced graphic design can be done through plain-language edits—often by “texting” changes—without the...
Build Anything with Codex, Here’s How
Codex is positioned as a production-grade coding agent that can chew through real GitHub issues in minutes—then open pull requests with targeted...
What Is LLM HAllucination And How to Reduce It?
LLM hallucination is what happens when a large language model produces confident answers that are not factually correct—often by “making up” details...
ChatGPT Prompt Engineering Secret: Personas and Roles
Roles and personas are a practical prompt-engineering lever for large language models: they steer tone, expertise, and interaction style so outputs...
Learn to Spell: Prompt Engineering (LLM Bootcamp)
Prompt engineering is the practical art of choosing the exact text you feed a language model so it behaves the way you need—often replacing what used...
AI Genius Unleashed: ChatGPT Hacks Every Academic Needs to Know!
Getting reliable, high-quality output from ChatGPT for academic work often fails when people rely on a single prompt. Consistent results come from...
Seedream 4.0 is proof there’s no stopping AI Advancement
Seedream 4.0 (referred to as “Cream 4.0” in the transcript) is being positioned as a major step forward in photorealistic image generation and,...
Build Anything with Local Agents, Here’s How
Running AI agents locally—without paying API fees—hinges on two pieces: a local model runtime (Ollama) and an agent framework (CrewAI). The setup...
AI Generation That Looks Like a REAL Photo - But what else can it do?
Adobe’s Firefly is emerging as a strong early entry in text-to-image AI—especially for photo-like results—thanks to a tightly guided interface that...
Researchers Beware: Avoid These Costly Mistakes When Using AI
The biggest avoidable mistake with AI in research is treating it like a mind-reader—using vague prompts and relying on the model’s default knowledge...
The Wait is Over! Gen-3 is OUT! - First Testing & Impressions
Runway’s Gen-3 Alpha has gone public, giving anyone access to a high-quality AI video generator that can turn text prompts into short, cinematic...
Ultimate Guide to the Best LLMS - Better than ChatGPT!
ChatGPT’s viral success has distracted many people from a bigger point: OpenAI’s broader language-model lineup—and especially the GPT-3 “Playground”...
OpenAI Just Launched 200 Prompts for Pros—They Will Destroy Your Career (Here's Why)
OpenAI’s newly released “prompt pack” of roughly 200 prompts is drawing sharp backlash because it leans on short, generic instructions that don’t...
NEW DALL-E 2 Prompt Strategies for Text to Image AI
Text-to-image results improve dramatically when prompts are treated like precise design briefs rather than casual sentences. The most practical...
A New Step for AI Art - But is it the right one?
Midjourney V5 arrives as a more “pro” image model that leans harder into prompt-following and realism—while still letting users switch back to the...
ChatGPT / GPT-4 Prompt Engineering : Master The Ultimate Prompt Today!
A repeatable prompt “pipeline” turns shaky, overly literal answers into more reliable reasoning—by forcing GPT-4 to (1) break problems down step by...
ChatGPT-5 Rumors Decoded—How Prompting is Evolving in the Next Age of AI
ChatGPT-5 prompting is less about guessing AGI timelines and more about adapting to where large models are headed: bigger context windows, more...
I found an AI Agent that makes Phone Calls for you
Phone Call GPT is an AI service that can place realistic, voice-to-voice phone calls on a user’s behalf—handling conversations, collecting...
Context Engineering vs. Prompt Engineering: Guiding LLM Agents
Context engineering is being misunderstood as mostly a token-efficiency exercise, but the bigger shift is about steering the “probabilistic context”...
GPT-4 Prompt Engineering: The “Rate This” Prompt
A simple “rate this” prompt turns rough ideas into sharper, more persuasive drafts by forcing GPT-4 to score content on a 0–5 scale and then rewrite...
AI Expert: Anyone can build Agents, here’s how
AI agents are best approached as a step-by-step automation workflow—start with the process you already do, break it into small chunks, and only then...
Steal My 2-Prompt Blueprint: Turn ChatGPT Into Your Personal AI Tutor (Live Demo)
A two-prompt “blueprint” turns ChatGPT into a personal AI tutor by treating prompting as a learning system—not a one-off request. The core move is to...
Excel AI Will Replace Finance Teams by 2026—Here's Why (And What to Do)
AI-assisted Excel is moving from “faster drafting” to “production-grade financial modeling,” and that shift could cut finance work...
ChatGPT Prompt Engineering: The “AI Critic” Prompt
A three-step “AI critic” prompt can turn ChatGPT into a targeted editor by forcing it to (1) adopt a critic role, (2) identify specific weaknesses in...
Advanced RAG 05 - HyDE - Hypothetical Document Embeddings
HyDE (Hypothetical Document Embeddings) improves retrieval in RAG by using a large language model to draft a “hypothetical answer,” embedding that...
Build Genius AI Agents with Prompt Engineering
Prompt engineering sits at the center of building capable AI agents because every agent’s “brain” is a large language model that predicts the next...
What I've Learned Testing 100+ AI Tools For Research
Testing more than 100 AI tools for research leads to a blunt takeaway: large language models (LLMs) now handle most research tasks well—writing,...
AutoGPT: Can It Solve 5 Different Tasks From Easy to Complex? - WOW!
AutoGPT is tested across five tasks—ranging from simple file-based instructions to web scraping and multi-step research—and it repeatedly produces...
Anthropic's Latest Winner - Workbench
Anthropic has overhauled its developer “Workbench” inside the Anthropic console, turning prompt building into a full testing and benchmarking...
The 4 Stacks of LLM Apps & Agents
Building useful LLM apps and agents comes down to assembling four distinct “stacks” in the right places: the model itself, the data/search/memory...
Prompting Your AI Agents Just Got 5X Easier...
Anthropic has added an “experimental prompt generator” that turns a plain task description into a high-quality, ready-to-use prompt built from...
Stop Burning Tokens: The Contract-First Prompting Blueprint No One Talks About
Most failed AI prompts don’t break because the model is “bad”—they break because the user’s intent arrives in a fog. Human language is especially...
ChatGPT Prompt Engineering: Advanced Data Analysis for Writing - IMPRESSIVE!
A repeatable workflow turns uploaded research notes into a polished, multi-section blog post by chaining OpenAI’s Jack GPT code interpreter with a...
Inside ChatGPT-5's Brain: System Prompt Secrets for First Movers
ChatGPT-5’s system prompt is built to “ship” work fast—often with minimal back-and-forth—so the biggest shift for users is moving from conversational...
ChatGPT Prompt Engineering: Zero, One and Few Shot Prompting
Prompt engineering in ChatGPT hinges on how much guidance the model gets about the exact output format. In zero-shot prompting, the model must...
Does Midjourney Adjust Your Prompts in the Background?
Midjourney appears to do more than render prompts—it likely enhances or “spices up” user keywords behind the scenes, helping turn even a single-word...
Fine-tuning Llama 3.2 on Your Data with a single GPU | Training LLM for Sentiment Analysis
Fine-tuning Llama 3.2 (1B) for sentiment classification on a custom mental-health dataset can jump accuracy from roughly 30% to nearly 85% using a...
Use AI To Help Build Your Second Brain in Obsidian MD (Dataview Plugin Queries Example)
AI can cut the time spent wrestling with Obsidian’s DataView plugin by turning natural-language requests into working DataView query code—complete...
Self-Correcting AI Coding Agent + Prompting Deep Dive
An AI coding agent can reliably turn a plain goal into working software by running generated code, capturing terminal errors, and feeding those...
Master Perplexity Prompting -- Why It's Different from ChatGPT + Demo
Perplexity’s edge over ChatGPT isn’t better “chat”—it’s an internet-first architecture built for retrieval, citations, and recency. Instead of...
OracleAGI: ADVANCED Prompt Engineering System (ChatGPT-4)
OracleAGI is a multi-agent, multi-step prompt engineering system designed to generate and iteratively refine “out-of-the-box” business ideas by...
Everyone is Getting AI Fluency Wrong—Steal My 10 Level Framework That Exposes the Real AI Skill Gap
AI fluency isn’t about memorizing prompts or chasing whichever chatbot is trending—it’s about moving up a model-agnostic ladder of understanding,...
ChatGPT-4 Workflow: YouTube to Blog Post in Under 1 Hour | Step-by-Step
Turning a YouTube script into a published blog post in under an hour hinges on a tight workflow: transcribe the video quickly, use ChatGPT-4 to draft...
Build AI Agents with GPT 4.1 - Step by step
GPT-4.1’s biggest practical advantage for building AI agents is its combination of strong instruction-following, major long-context capacity (up to a...
Improve Your AI Skills with Open Interpreter
Open Interpreter turns plain-language prompts into real, local actions—writing and running code, scraping the web, transforming media files, and...
OpenAI-o1 x Cursor | Use Cases - XML Prompting - AI Coding ++
OpenAI o1 mini is positioned as a high-output “bulk work” coding model inside Cursor—especially when paired with tightly structured prompts using XML...
Why prompt engineering ?
Prompt engineering matters because it lets teams build and test LLM-powered applications quickly—often within hours—without the months-long data and...
Autonomous AI Video Analysis 2.0 | GPT-4V Turbo x Whisper
A new “autonomous AI video analysis” workflow now combines what’s happening visually with what’s being said out loud, producing a more complete...
The A-to-Z AI Literacy Guide (2025 Edition)
AI literacy in 2025 comes down to understanding how language models turn text into tokens, map those tokens into mathematical meaning, and then...
The AI Ops Engineer - Next BIG Role in Tech? 🤖
A new “AI Ops Engineer”–style role is taking shape around turning rapidly evolving foundation models into working, shipped products—without requiring...
Beginner's Guide to LLMs in 2024 | Optimize Your Life with AI
Large language models (LLMs) are best understood as prediction engines trained on massive text corpora—not as simple databases—and the biggest...
Building & Testing YOUR Open AI GPTs!
OpenAI GPTs can be built and tested quickly, but real-world experimentation is often throttled by usage caps and inconsistent feature...
Learn AI Engineer Skills For Beginners: AI Code Generation
AI code generation is becoming a practical skill for beginners because it can compress hours of boilerplate work into minutes—while still leaving...
Use AI to get BETTER prompts for DALL-E 2 Midjourney & Stable Diffusion! - Type Stitch
Type Stitch positions itself as a prompt “idea generator” for text-to-image models—turning a few keywords into multiple, more descriptive prompt...
You Are Using ChatGPT The Wrong Way
ChatGPT performs far better when users treat prompts like a brief for a human professional: spell out the goal and audience up front, then narrow the...
VEO 3 AI: Testing YOUR Prompts Live!
Google’s VEO 3 is capable of turning highly specific, meme-heavy prompts into short, mostly coherent text-to-video generations with audio that often...
I Analyzed 170 Million AI Jobs with ChatGPT—Grab Insights for 17 AI Careers + a Prompt Demo
AI job seekers are being told to “learn AI” in ways that are too vague to help—while the labor market is simultaneously creating new roles and wiping...
Will AI Kill Traditional Web Scraping? (GPT4V + Mistral Medium Project)
A new scraping workflow is emerging that replaces HTML parsing with visual capture: use Puppeteer to screenshot target pages, then feed those images...
LLM JSON Output - Get Valid JSON with Pydantic and LangChain Output Parsers
Getting reliable JSON from large language models—especially ones that don’t natively support structured outputs—requires more than “please output...
LLM In-Context Learning Masterclass feat My (r/reddit) AI Agent
A Reddit AI agent can be made to deliver on-topic, “in-style” answers by stuffing a carefully curated “brain” into the model’s prompt—combining a...
Here's How to Solve the 6 Top Prompt Issues (Based on 29,000 OpenAI Comments)
The most common reason AI outputs fail isn’t that the model is “bad”—it’s that users repeatedly mis-handle how the model is guided. Across Fortune...
How I Rehearsed a $200K Salary Battle with One AI Prompt (No Coding)
A reusable “digital twin” prompt can turn messy, multi-party negotiations into a controlled simulation—without writing code—by forcing the AI to...
Claude Code Interpreter Deep Dive: Real Workflows + Prompts
Claude’s new code interpreter capability turns “LLM text” into directly usable office work—building and editing Excel spreadsheets, PowerPoint decks,...
Lecture 07: Foundation Models (FSDL 2022)
Foundation models are driving a shift in AI from task-specific systems toward general-purpose models built by scaling architecture, data, and...