Videos de AI agents
Videos etiquetados con "AI agents"
AI agents 7 videos
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
5 Next Big Careers No One Is Talking About Yet | SUNAND SHARMA @CareersTalk
There’s a lot of fear around Artificial Intelligence (AI) replacing jobs, but the reality is more nuanced. Instead of simply taking over careers, AI is reshaping the job market and making certain roles more valuable than ever. In this video, we break down 5 future-proof career paths that will actually survive AI in 2026 and beyond—where AI is not your replacement, but your most powerful tool. You’ll learn: Which jobs are most resistant to AI automation Why AI is increasing demand for certain careers Real-world salary potential and future scope How tools like AI agents, generative AI, and automation platforms (like n8n) are changing work Skills you need to stay relevant in the AI-driven job market We also explore the future of work in 2030, including how AI automation, AI agents, and tools like Claude AI and generative AI are reshaping industries across the world, especially in India and global tech markets. If you’re planning your career, switching fields, or just trying to understand where AI is heading, this video will give you a clear roadmap AI jobs, future of AI, AI careers, AI automation jobs, AI proof careers, AI proof skills, generative AI, AI agents, future of work 2030, artificial intelligence future scope in India, how to survive AI, AI job trends, n8n AI agent, n8n web scraping, Claude AI, AI tools, tech careers 2026 #AI #FutureOfWork #AICareers #AIJobs #ArtificialIntelligence #Automation #CareerAdvice #GenerativeAI #AITools #FutureJobs
Understanding Large Language Models (LLM) | Transformer Architecture, AI Concepts & Future Explained
Discover the complete world of Large Language Models (LLMs) in this detailed educational video designed for students, researchers, AI enthusiasts, educators, developers, and technology learners. In this in-depth session, we explore the latest concepts behind modern Artificial Intelligence systems including Transformer Architecture, Self-Attention Mechanisms, Tokenization, Embeddings, Neural Networks, Context Windows, Retrieval-Augmented Generation (RAG), AI Agents, Multimodal AI, and the future of Generative AI technologies. This educational video explains how modern AI systems process and understand human language using billions of parameters and large-scale datasets. Whether you are beginning your AI journey or already exploring Machine Learning and Natural Language Processing, this video provides a structured and easy-to-understand explanation of the most important concepts behind modern LLMs. The video also covers the evolution from traditional NLP systems to advanced Transformer-based architectures that power today’s AI assistants, intelligent chatbots, research systems, coding assistants, and enterprise AI applications. 📘 Topics Covered in This Video What are Large Language Models (LLMs)? Evolution of NLP and AI Language Systems Transformer Architecture Explained Self-Attention Mechanism Tokens and Tokenization Word Embeddings and Vector Representations Parameters and Neural Networks Training and Fine-Tuning of LLMs Context Windows and Long-Context AI Encoder vs Decoder Models Retrieval-Augmented Generation (RAG) Hallucinations and Limitations of AI AI Safety and Alignment Multimodal AI Systems AI Agents and Autonomous Workflows Latest Trends in Generative AI Real-World Applications of LLMs 🎯 Who Should Watch This Video? This video is highly useful for: Artificial Intelligence Students Machine Learning Enthusiasts NLP Researchers Engineering Students Data Science Learners AI Developers Educators and Teachers Research Scholars Technology Professionals Anyone curious about modern AI systems 🚀 Why This Video Matters Large Language Models are rapidly transforming industries including: Education Healthcare Cybersecurity Software Engineering Scientific Research Business Automation Digital Content Creation Understanding how LLMs work is becoming an essential skill in the modern AI-driven world. This video aims to simplify advanced AI concepts into a structured educational format suitable for learning, teaching, research, and knowledge-building purposes. 📌 Educational Disclaimer This video is created strictly for educational, learning, research, awareness, and knowledge-building purposes only. Some portions of this content are AI-generated and may contain inaccuracies, omissions, outdated information, or unintended errors. Viewers are strongly encouraged to independently verify facts, technical details, research findings, and practical implementations from official and trusted sources before applying them in academic, professional, technical, legal, medical, or commercial environments. This content does not promote misuse of AI technologies and is intended solely for responsible educational understanding. 🔔 Support the Channel If you found this educational AI content useful: Like the video Share with learners and researchers Subscribe for more AI, Machine Learning, NLP, and Technology educational content Enable notifications for future updates #LLM #ArtificialIntelligence #GenerativeAI #MachineLearning #NLP #Transformers #LargeLanguageModels #AI #DeepLearning #NeuralNetworks #AIExplained #DataScience #AI2026 #Technology #EducationalVideo #AIResearch #NotebookLM #FutureOfAI #SelfAttention #RAG Large Language Models, LLM tutorial, What are LLMs, Transformer Architecture, Generative AI, Artificial Intelligence, NLP tutorial, Self Attention Mechanism, AI explained, Machine Learning tutorial, Deep Learning, Neural Networks, AI Agents, Multimodal AI, Retrieval Augmented Generation, RAG systems, Tokenization, Embeddings, Context Window, AI education, NotebookLM content, AI concepts explained, latest AI trends 2026, educational AI video, language models tutorial, ChatGPT concepts, Transformer neural network, AI learning, AI research, Future of AI, AI for students, AI technology explained, Generative AI tutorial, modern AI systems, Large Language Model architecture, NLP concepts, AI knowledge video, educational technology content
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
Google's I/O 2026 LineUp - OMNI, XR Glasses & Gemini 3.5 That Runs Your Life
The tech titans are spending billions for the prize: our complete digital life. Google is shifting its focus from chatbots to Gemini AI, aiming to make Android an active intelligence system that usheres in the agentic AI era. This push towards AI agents and AI integration highlights the future of AI where Android becomes a truly intelligent system. #GoogleIO #AIAgent #XRGlasses #Gemini #FrontPage #AIMNetwork ------------------------------------------------------------------------------------------ 👋 ABOUT AIM NETWORK AIM Network is India's leading voice on the intersection of AI, Technology, and Business. We bring you sharp analysis, breaking news, and original perspectives on everything from Generative AI breakthroughs to geopolitical market shifts. 🔔 Subscribe for daily insights: https://www.youtube.com/@aimmediahouse?sub_confirmation=1 📺 WATCH OUR POPULAR SERIES: - Front Page (Daily Tech News): https://www.youtube.com/playlist?list=PL9Kc1zSa46OxR8h0ZgAfEENta0vaxfWrs - Tech Talks (Podcast): https://www.youtube.com/playlist?list=PL9Kc1zSa46OyXflFLWtmF5MN3jvdxDFE3 -Simulated Reality (Podcast) - https://www.youtube.com/playlist?list=PL9Kc1zSa46OwqKv91j8W6vZ-V5DucIU4Y 📰 STAY UPDATED: Website: https://analyticsindiamag.com/ LinkedIn: https://in.linkedin.com/company/analytics-india-magazine Twitter/X: https://x.com/Analyticsindiam Instagram: https://www.instagram.com/aim.media.house/ ------------------------------------------------------------------------------------------
AI Evals Explained in 3 Steps 🤯 | How Top AI Companies Test Intelligence
Building an AI model is easy now… But proving that it actually works reliably? That’s the real challenge. In this BazAI breakdown, we explore how modern AI evaluation systems work using a simple 3-step framework. This video covers: ✅ Picking the Right AI Task ✅ Collecting Evaluation Datasets ✅ Developing AI Graders We explain how AI companies evaluate: LLMs, RAG systems, coding agents, autonomous AI workflows, reasoning models, safety systems, and multi-agent architectures. You’ll also learn about: 🔹 LLM-as-a-Judge systems 🔹 Human evaluation pipelines 🔹 Code-based grading 🔹 Benchmark datasets 🔹 AI safety testing 🔹 Agent evaluation frameworks As AI becomes more autonomous, evaluation is becoming more important than model size itself. The future of AI belongs to systems that are measurable, reliable, and trustworthy in real-world environments. Subscribe to BazAI for deep AI engineering breakdowns, autonomous agent systems, multimodal AI, and future technology explained simply.