Videos de prompt engineering
Videos etiquetados con "prompt engineering"
prompt engineering 9 videos
Online kurz Google Gemini AI - Ako Začať s Tvorbou Prezentácií? Vstupný Riadok a Kvalita Promptu
🎓 Absolvujte celý online kurz Google Gemini na ➡ https://www.vita.sk/online-kurz-google-gemini-ai-i-zaciatocnik/ Online kurz Google Gemini AI I. Začiatočník je pre vás ideálny, ak sa chcete naučiť efektívne pracovať s umelou inteligenciou Google Gemini a rozumieť tomu, ako AI a ML fungujú v praxi. Ide o certifikovaný kurz na umelú inteligenciu a Google Gemini. V tomto kurze sa naučíte pracovať s platformou Gemini a osvojíte si základné princípy umelej inteligencie, strojového učenia a ich praktického využívania. Porozumiete tomu, ako fungujú moderné generatívne modely, aké typy úloh dokážu riešiť a ako ich môžete využiť na tvorbu textov, analýz, vizuálov či vzdelávacích materiálov. Získate prehľad o tom, aké AI nástroje dnes dominujú trhu, a naučíme sa ich porovnať podľa možností, presnosti a rýchlosti. Kurz sa zameriava na prompt engineering ako kľúčovú zručnosť pri práci s umelou inteligenciou. Osvojíme si postupy, ako formulovať efektívne dopyty, vytvárať štruktúrované prompty, vyhodnocovať výstupy modelov a optimalizovať výsledky pomocou nástrojov ako Lakera AI. Naučíme sa tvoriť prezentácie, vzdelávacie materiály, obsahové výstupy, marketingové texty či dátové súhrny. Porozumiete tomu, aké rozdiely existujú medzi jednotlivými modelmi a ako vybrať vhodný nástroj pre konkrétnu úlohu. Dôležitou časťou kurzu je práca s Google AI Overview, AEO a GEO, kde sa naučíme, ako ovplyvňuje moderné vyhľadávanie, online viditeľnosť, SEO stratégie a obsahové odporúčania. Osvojíme si postupy, ako prispôsobiť obsah novým požiadavkám Google AI, ako optimalizovať texty pre AI Overview a ako pochopiť vzťah medzi klasickým SEO, Answer Engine Optimization a generatívnym vyhľadávaním. Kurz obsahuje aj kľúčové informácie o legislatíve, práve a etike pri používaní AI. Porozumieme, ako je to s autorskými právami v súvislosti s AI generovaným obsahom, ako správne citovať, archivovať a pracovať s vygenerovanými výstupmi, a aké právne riziká môžu vzniknúť pri komerčnom využití umelej inteligencie. Po absolvovaní kurzu budete schopní aktívne pracovať s Google Gemini AI, vytvárať profesionálne výstupy pomocou promptov, analyzovať dáta, pripravovať obsah a rozumieť tomu, ako AI meni digitálne prostredie. Ak sa chcete skutočne naučiť pracovať s umelou inteligenciou a Google Gemini stať, tak toto je ideálny online kurz pre vás. ⭐ Obsah nadupaného online kurzu Gemini ⭐ ⌨️ (00:00:00) - Prompt na vytvorenie prezentácie ⌨️ (00:01:55) - Vstupný riadok a kvalita promptu ⌨️ (00:03:00) - AI vtip keď napíšete nepresnú výzvy / prompt ⌨️ (00:03:20) - Google Gemini AI Modely, Režimy a Plány ⌨️ (00:03:40) - Vytvorená hotová prezentácia ⌨️ (00:05:45) - Výber AI modelu #Online #Kurzy #Školenia #AI #googlegemini #gemini #geminiai #googleai #ai #umelainteligencia #prezentacia #prezentacie #presentation #promptengineering #prompty #aipresentation #generativeai #aiproductivity #googleworkspace #automation #onlinekurz #vzdelavanie #vitaacademy #miroslavreiter #reiter
LLM 101: From Basics to Advanced in Minutes
LLM 101: From Basics to Advanced in Minutes What is an LLM? How do Large Language Models work? How does ChatGPT generate human-like responses? In this video, we break down Large Language Models (LLMs) from basics to advanced concepts in a simple and practical way. If you’ve heard terms like LLM, Large Language Models, ChatGPT, Generative AI, Transformers, Tokens, Embeddings, RAG, Fine-Tuning, Prompt Engineering, and AI Agents, this video will help you understand how they all fit together. Large Language Models are the foundation of modern Artificial Intelligence and power tools such as ChatGPT, Claude, Gemini, Copilot, Perplexity, and many enterprise AI applications. What You’ll Learn ✅ What is a Large Language Model (LLM)? ✅ How Large Language Models Work ✅ How ChatGPT Works ✅ What Are Tokens in LLMs? ✅ Transformer Architecture Explained ✅ Neural Networks Explained ✅ How LLMs Are Trained ✅ What Are Embeddings? ✅ Fine-Tuning vs Prompt Engineering ✅ What is Retrieval-Augmented Generation (RAG)? ✅ AI Agents Explained ✅ Real-World Applications of Large Language Models Large Language Models Explained A Large Language Model (LLM) is an Artificial Intelligence model trained on massive amounts of text data to understand and generate human language. Large Language Models use Machine Learning, Deep Learning, Transformer Architecture, and Neural Networks to predict the next word in a sequence and generate intelligent responses. Modern LLMs power: * ChatGPT * Claude * Gemini * Microsoft Copilot * Enterprise AI Assistants * AI Agents * Customer Support Bots * AI Search Engines * Business Automation Systems Key Concepts Covered * Large Language Models (LLMs) * Artificial Intelligence * Machine Learning * Deep Learning * Transformer Models * Neural Networks * Tokens * Embeddings * Context Windows * Prompt Engineering * Fine-Tuning * RAG Architecture * AI Agents * Generative AI * Natural Language Processing (NLP) Real-World Applications of LLMs Learn how Large Language Models are transforming: ✔ Business Operations ✔ Supply Chain Management ✔ Customer Support ✔ Content Creation ✔ Research and Analysis ✔ Marketing and Sales ✔ Software Development ✔ Knowledge Management ✔ Enterprise Productivity Who Should Watch? * AI Beginners * Working Professionals * Managers * Business Leaders * Students * Data Analysts * Supply Chain Professionals * Operations Managers * Entrepreneurs * Technology Enthusiasts
AI Security Explained for Developers | Prompt Injection, Jailbreaking, AI Data Leakage & Guardrails
AI Security Explained for Developers | Prompt Injection, Jailbreaking, AI Data Leakage & Guardrails 🔐 AI Security is becoming one of the most important topics for developers building AI applications, LLM-based systems, and AI agents. In this video, we explore how attackers manipulate AI models using Prompt Injection, Jailbreaking techniques, and how sensitive information can leak through AI systems. This episode from **Prompt Engineering For Developers** explains the security challenges of Large Language Models (LLMs), why traditional security approaches are different for AI, how System Prompts and User Prompts work, and how developers can protect AI applications using Guardrails. You will learn: ✅ Why AI Security is different from traditional application security ✅ System Prompt vs User Prompt explained ✅ What is Prompt Injection and how attacks work ✅ What is AI Jailbreaking and why it is dangerous ✅ How AI Data Leakage happens ✅ How Guardrails help secure AI applications ✅ Best practices for building safer AI systems Whether you are an AI developer, software engineer, prompt engineer, or someone exploring Generative AI security, this video will help you understand the fundamentals of securing LLM applications. 🚀 Topics Covered: 00:00 – Introduction 00:45 – Why AI Security is Different? 03:52 – System Prompt vs User Prompt 06:34 – Prompt Injection 10:45 – Jailbreaking 14:35 – AI Data Leakage 18:54 – Guardrails 23:00 – Next Steps ━━━━━━━━━━━━━━━━━━ 📌 Channel Information Channel: My Digital Diaries (English) @mydigitaldiariesenglish Series: Prompt Engineering For Developers ▶ Episode 01 — Introduction to Prompt Engineering ▶ Episode 02 — How LLMs Work ▶ Episode 03 — Anatomy of a Good Prompt ▶ Episode 04 — Basic Prompting Techniques ▶ Episode 05 — Advanced Prompting Techniques ▶ Episode 06 — Best AI Prompts for Coding, Debugging, Testing ▶ Episode 07 — Why Your AI Gives Messy Answers (And How to Fix It) ▶ Episode 08 — Prompt Chaining Explained ▶ Episode 09 — AI Hallucination ▶ Episode 10 — RAG (Retrieval-Augmented Generation) ▶ Episode 11 — Context Engineering & Memory ▶ Episode 12 — AI Safety, Prompt Injection & Security (You are here! 📍) 📺 Playlist: https://www.youtube.com/playlist?list=PLt519PJr4jF9iDVju8UWE9LVtUqUFCR4f Join this channel to get access to perks: https://www.youtube.com/channel/UCCTAmLlY-Fns7F16cOuVI7Q/join 📸 Instagram: instagram.com/mydigitaldiaries_new ━━━━━━━━━━━━━━━━━━ 🔍 Video is for you if you are searching: AI security explained, AI security for developers, prompt injection explained, prompt injection attack, AI jailbreak explained, LLM security, large language model security, AI data leakage, generative AI security, ChatGPT security, system prompt vs user prompt, prompt engineering security, AI guardrails, LLM guardrails, secure AI applications, responsible AI, AI safety, developer guide to AI security, protecting AI applications 🎯 This Video is For: • AI Developers • Software Engineers • Machine Learning Engineers • Prompt Engineers • Generative AI Enthusiasts • Developers building LLM applications • Anyone interested in AI Security and Responsible AI #aisecurity #promptengineering #mydigitaldiaries #generativeai #llmsecurity
AI Image Generation MASTERCLASS - Create Stunning Art from Text (6 Steps)
Learn to create professional AI art from text prompts! This masterclass covers everything from beginner basics to advanced techniques. In this tutorial: - Top 3 AI image generators: Midjourney, DALL-E 3, Stable Diffusion - Step 1: Writing effective prompts with the exact formula - Step 2: Style keywords for photorealistic, illustration, painting, 3D - Step 3: Composition and framing with photography terms - Step 4: Advanced prompt engineering (negative prompts, weights, aspect ratios) - Step 5: Iteration and refinement (variations, upscale, inpainting) - Step 6: Practical applications (thumbnails, social media, websites, products) - My #1 tip for beginners Whether you're a marketer, creator, or hobbyist, AI image generation can transform your visual content! Subscribe to Patapo AI for more AI tutorials! 0:00 - Introduction 0:31 - The 3 Best AI Image Tools 1:21 - Step 1: Writing Effective Prompts 2:17 - Step 2: Style Keywords 3:00 - Step 3: Composition & Framing 3:40 - Step 4: Advanced Prompt Engineering 4:24 - Step 5: Iteration & Refinement 5:04 - Step 6: Practical Applications 5:50 - My #1 Tip for Beginners #AIImageGeneration #AITutorial #Midjourney #DALLE3 #PatapoAI #StableDiffusion #AIArt #PromptEngineering #AIImageGen #AIImage #TextToImage #AIArtTutorial #AIForBeginners #PromptTips #AI2026 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AFFILIATE LINKS (Support the channel!) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ImagineArt - AI Image Generation (50% commission!) https://www.imagine.art/affiliate Canva Pro - AI-Powered Design https://www.canva.com/help/canva-affiliate-marketing-program 10Web - AI Website Builder (30% recurring) https://10web.io Copy.ai - Try Free, Upgrade for More https://affiliates.copy.ai/apply Make - Free Plan Available https://www.make.com/en/affiliate HubSpot - Grow with AI https://www.hubspot.com/partners/affiliates Grammarly Premium - AI Writing https://www.grammarly.com/affiliates Some links above are affiliate links. If you make a purchase, I may earn a commission at no extra cost to you. This helps support the channel and allows me to continue making free content like this. Thank you!
Day - 03 : GEN AI + LLM + RAG + Agentic AI Overview by Mr. Ashok
Artificial Intelligence is changing the way software applications are built. In this session, Mr. Ashok explains the most important AI concepts every student and developer should know. In this video, you will learn: ✅ What is Generative AI? ✅ What are Large Language Models? ✅ How RAG works in real-time applications ✅ What is Agentic AI? ✅ Difference between LLM, RAG, and AI Agents ✅ Real-world use cases of Gen AI ✅ Career opportunities in AI This session is useful for students, freshers, working professionals, Java developers, Python developers, and anyone who wants to start learning AI from basics. 📌 Watch the full session and start your AI learning journey today. #GenAI #LLM #RAG #AgenticAI #ArtificialIntelligence #AIOverview #GenerativeAI #PromptEngineering #AIForBeginners #AshokIT #MrAshok #PythonAI #AICareer #MachineLearning #TechLearning
How LLMs Actually Generate Text (Every Dev Needs to See This)
Every day, millions of people use ChatGPT, Claude, and Grok—but very few understand what is actually happening behind the blinking cursor. Did you know the model has no idea what it's going to say next? In this video, we break down the exact 5-step process of how Large Language Models (LLMs) generate text, from the moment you hit "send" to the final output. We move past the magic and dive into the mechanism so you can become a better AI builder. You’ll learn exactly how AI reads text, how it understands context, and why "hallucinations" actually happen. 👇 What You Will Learn (Chapters): 0:00 - The Illusion of AI (No Hidden Script) 0:28 - The 5 Steps of LLM Text Generation 0:54 - Step 1: Tokenization (How Models Read) 1:56 - Step 2: Embeddings (Mapping Meaning & Context) 3:11 - Step 3: Transformers & The Attention Mechanism 4:40 - Step 4: Probabilities (Logits & Softmax) 5:40 - Step 5: Sampling (Greedy Decoding, Temperature & Top-P) 6:52 - Autoregressive Generation (The Loop) 7:50 - Why AI Hallucinates (Mechanism, Not Magic) 8:50 - Summary: Becoming an AI Builder If you want to understand the architecture of modern AI, hit the LIKE button and SUBSCRIBE for more deep dives into machine learning and software engineering. #ChatGPT #LLM #MachineLearning #ArtificialIntelligence #Transformers #OpenAI #TechEducation #LLM #HowAIWorks #ChatGPT #MachineLearning #ArtificialIntelligence #NeuralNetworks #Transformers #TechExplained #Programming #OpenAI #Claude 🏷️Keywords ChatGPT, OpenAI, Large Language Models, LLM, Claude, Grok, Artificial Intelligence, AI explained, Machine Learning, Neural Networks, Deep Learning, Generative AI, generative text, Specific & Technical Tags: Tokenization, AI tokens explained, Word embeddings, Transformer model explained, Attention mechanism AI, Self attention, Softmax function, AI logits, Top-p sampling, Nucleus sampling, AI Temperature setting, Greedy decoding, Autoregressive models, Llama 3, GPT-4, Long-Tail/Search Query Tags: How does ChatGPT work, How large language models work, What is a token in AI, Transformer neural network explained simply, How AI generates text, Why does AI hallucinate, ChatGPT temperature explained, How to write better AI prompts, Mechanism not magic, Learn AI for beginners, How to build with LLMs, AI context window explained,
LLAMA CPP ⚙️ Domina los Parámetros de Sampleo para un LLM PERFECTO
Descubre cómo funcionan los parámetros de sampleo en los modelos de lenguaje y aprende a configurarlos para optimizar las respuestas de tu IA. En este video analizamos a fondo los ajustes de sampleo, tomando como referencia llama.cpp y LM Studio, aunque estos conceptos aplican a la mayoría de los cargadores de modelos como vLLM. Exploramos la naturaleza de los LLM como predictores de tokens y cómo el contexto influye en la generación de cada palabra. Explicamos detalladamente el impacto de la temperatura en la creatividad y la precisión, la función del Top K para limitar el rango de tokens probables y las diversas penalizaciones por repetición (repeat penalty, presencia y frecuencia) para evitar que el modelo caiga en bucles infinitos. Finalmente, discutimos cómo adaptar estos ajustes según la tarea, ya sea para razonamiento complejo o para la escritura de código. 📝 Índice: 00:00:00 Introducción a los parámetros de sampleo 00:00:51 Funcionamiento del contexto y predicción de tokens 00:03:12 Aleatoriedad vs Probabilidad en las respuestas 00:04:43 La Temperatura y la creatividad del modelo 00:07:31 Top K y la limitación de tokens 00:08:17 Prevención de repeticiones y bucles (Penalty) 00:10:35 Parámetros adicionales en llama.cpp 00:12:00 Configuración según el tipo de uso (Código vs Texto) #inteligenciaartificial #LLM #llamaCPP #LMStudio #MachineLearning #IA #PromptEngineering #Tecnologia Contacto: nichonauta@gmail.com Web: nichonauta.com URL del Directo Completo: https://www.youtube.com/watch?v=WTYkns3r7h8
LLM 🤖 Cómo FUNCIONAN realmente los Modelos de Lenguaje
Descubre cómo funcionan realmente los modelos de lenguaje y desmitifica la idea de que poseen autonomía. En este video exploramos la mecánica técnica detrás de la predicción de texto, el uso de plantillas y cómo los LLM interactúan con herramientas externas. Analizamos el proceso de autocompletado y la estructura de los prompts, diferenciando entre el system prompt, el usuario y el asistente. A través de ejemplos prácticos con llama CPP, se explica que la IA no está teniendo una conversación real, sino calculando la siguiente parte más probable de un texto basándose en fórmulas y pesos matemáticos. También profundizamos en la cadena de razonamiento (reasoning) y el uso de herramientas (tools). Explicamos que cuando un modelo como GitHub Copilot crea un archivo, no está haciendo clic en un botón, sino prediciendo un comando específico que el programa externo luego ejecuta. Finalmente, comparamos el rendimiento de modelos como Gema y Qwen, analizando cómo la cuantización y el tamaño del modelo afectan su capacidad para ejecutar tareas técnicas. 📝 Índice: 00:00:00 ¿Cómo funcionan los modelos de lenguaje? 00:01:12 Estructura de prompts: System, User y Assistant 00:02:30 El proceso de predicción de texto y tokens 00:04:00 Cadenas de razonamiento y etiquetas de pensamiento 00:06:15 El uso de herramientas y comandos externos 00:08:00 Análisis de modelos: Gema, Qwen y cuantización #InteligenciaArtificial #LLM #Programacion #MachineLearning #GithubCopilot #Tecnologia #IA #ModelosDeLenguaje Contacto: nichonauta@gmail.com Web: nichonauta.com URL del Directo Completo: https://www.youtube.com/watch?v=zUUb_rMjzxU
🎨 Trabajo de DISEÑADOR de PROMPTS para Midjourney, Dall-e, Stable Diffusion - PROMPT ENGINEERING
#promptengineering #inteligenciaartificial #midjourney La inteligencia artificial va a cambiar muchos trabajos, pero también va a crear nuevos trabajos. Si te gusta generar imágenes con Midjourney, Dall-e o Stable Diffusion, puedes dedicarte profesionalmente a ello. Puedes ser diseñador de prompts (prompt engineering) especializado en Midjourney, Dall-e, Stable Diffusion y otros. En poco tiempo las empresas de diseño gráfico, marketing online, etc. demandarán estos perfiles profesionales. Pero, además esque ya hay market place donde se pueden vender prompts y servicios específicos de diseño de prompts. Te voy a mostrar el más conocido de ellos Promptbase. ☑️👉 Accede a TODOS LOS CURSOS de MI ACADEMIA ONLINE por SOLO 10 €/Mes (Incluye soporte para consultas) https://cursotiendaonline.com/ ☑️👉PROMPTBASE https://promptbase.com/