Generative AI

🤖 Generative AI has quickly become one of the most important technology areas to understand. It can create text, images, code, audio, video and other types of content, but its real value goes beyond simply generating content. The important skill is learning how to use AI to solve real problems, improve productivity and build useful applications. Here are the major areas you can explore: 🧠 AI Fundamentals Understand how artificial intelligence, machine learning, deep learning and generative AI are connected. 💬 Large Language Models Learn how models such as GPT and other LLMs process information and generate responses. ✍️ Prompt Engineering Learn how to give AI clear instructions, provide context, define constraints and improve the quality of outputs. 📚 AI for Learning Use AI as a tutor, research assistant, practice partner and learning companion. 💻 AI Coding Use generative AI to understand code, debug problems, generate solutions, write tests and accelerate development. 📊 AI for Data Analytics Use AI to explore datasets, generate SQL, explain analysis, create formulas and assist with reporting while validating the results. 🎨 AI Image Generation Create illustrations, designs, concept

👥 1.8K+ learners have already registered for the Certification in Agentic AI. Live classes. 6+ projects. 15+ tools. Certified by Vishlesan i-Hub, IIT Patna. Don't be the last one to learn how AI agents are built. ✅ 4 Months | Online | 10 hrs/week ✅ Capstone projects aimed at real challenges ✅ Expert faculty & industry insights ✅ Placement assistance for 1 year by Masai* 📅 Qualifier Test: 25th Oct Test fee: ₹29 🔗 https://ihubiitpatnaonline.com/program/iit-patna/certification-in-agentic-ai-qualifier *Eligibility: 7+ CGPA and 65% attendance

🤖 New Powerful AI Model: GigaChat 3.5 Reasoning This open-source LLM actually thinks before it answers! Perfect for complex coding, math, and reasoning prompts. ✅ Built on GigaChat 3.5 Ultra: explores multiple step-by-step reasoning paths ✅ Automated verification reinforces correct answers, enabling self-correction ✅ Autonomously decides when to call external tools or revise earlier steps ✅ Highly efficient: Linear attention uses 37% fewer tokens than DeepSeek V4 Flash Preview 📈 Massive benchmark gains over non-reasoning versions: • IFBench: 44 → 77 • Natural Plan: 64 → 80 • LiveCodeBench v6: 56 → 85 🔗 Open-sourced under MIT license. Weights on Hugging Face: fp8 | bf16

🚀 ChatGPT Plus & Gemini AI Pro🤖 ChatGPT Plus — 1 Month: $8.90 ✨ Gemini AI Pro — 18 Months: $2.50 ⚡ Fast delivery 🌍 Worldwide 🔐 Directly via Telegram 👉 https://t.me/Hppykeys_BOT

✅ AI Fundamental Concepts You Should Know 🧠🤖 1️⃣ Artificial Intelligence (AI) AI is the field of building machines that can simulate human intelligence — like decision-making, learning, and problem-solving. 🧩 Types of AI: - Narrow AI: Specific task (e.g., Siri, Chat) - General AI: Human-level intelligence (still theoretical) - Superintelligent AI: Beyond human capability (hypothetical) 2️⃣ Machine Learning (ML) A subset of AI that allows machines to learn from data without being explicitly programmed. 📌 Main ML types: - Supervised Learning: Learn from labeled data (e.g., spam detection) - Unsupervised Learning: Find patterns in unlabeled data (e.g., customer segmentation) - Reinforcement Learning: Learn via rewards/punishments (e.g., game playing, robotics) 3️⃣ Deep Learning (DL) A subset of ML that uses neural networks to mimic the brain’s structure for tasks like image recognition and language understanding. 🧠 Powered by: - Neurons/Layers (input → hidden → output) - Activation functions (e.g., ReLU, sigmoid) - Backpropagation for learning from errors 4️⃣ Neural Networks Modeled after the brain. Consists of nodes (neurons) that process inputs, apply weights, and pass outputs. 🔗 Ty

AI for students: 1. perplexity.ai ➜ Research Assistant 2. hissab.io ➜ Calculate Anything 3. otter.ai ➜ Automate Lecture Notes 4. stepwisemath.ai ➜ Math Tutor 5. scholarcy.com ➜ Article Summarizer 6. caktus.ai ➜ Study Tool 7. bookai.chat ➜ Chat with Books 8. chatdoc.com ➜ Chat with Documents 9. textero.ai ➜ Essay Generator 10. jenni.ai ➜ Write Research Papers 11. tome.app ➜ Presentation Generator 12. plaito.ai ➜ Personal Tutor 13. heyscience.ai ➜ Scientific Research Assistant Double Tap ❤️ For More

🤗 HuggingFace is offering 9 AI courses for FREE! 📩 These 9 courses covers LLMs, Agents, Deep RL, Audio and more 1️⃣ LLM Course: https://huggingface.co/learn/llm-course/chapter1/1 2️⃣ Agents Course: https://huggingface.co/learn/agents-course/unit0/introduction 3️⃣ Deep Reinforcement Learning Course: https://huggingface.co/learn/deep-rl-course/unit0/introduction 4️⃣ Open-Source AI Cookbook: https://huggingface.co/learn/cookbook/index 5️⃣ Machine Learning for Games Course https://huggingface.co/learn/ml-games-course/unit0/introduction 6️⃣ Hugging Face Audio course: https://huggingface.co/learn/audio-course/chapter0/introduction 7️⃣ Vision Course: https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome 8️⃣ Machine Learning for 3D Course: https://huggingface.co/learn/ml-for-3d-course/unit0/introduction 9️⃣ Hugging Face Diffusion Models Course: https://huggingface.co/learn/diffusion-course/unit0/1 Double Tap ♥️ For More

7 GitHub Repos to Build Al Agents 👇 1/ AutoGPT — https://github.com/Significant-Gravitas/AutoGPT 2/ LangChain — https://github.com/langchain-ai/langchain 3/ Dify — https://github.com/langgenius/dify 4/ MetaGPT — https://github.com/FoundationAgents/MetaGPT 5/ AutoGen — https://github.com/microsoft/autogen 6/ CrewAI — https://github.com/crewAIInc/crewAI 7/ LangGraph — https://github.com/langchain-ai/langgraph

The Best Agentic AI Browsers to Look For in 2026 🚀 Perplexity Comet 📝 Your AI sidekick that browses, researches, and executes tasks for you—just ask. 🧠 ChatGPT Atlas 📝 ChatGPT becomes your browser and handles the web while you relax. 💬 Dia Browser 📝 Chat with your tabs, write smarter, and plan faster—AI built into your flow. 🤖Microsoft Edge Copilot 📝 Copilot reads your tabs, answers instantly, and gets work done on the spot. 🔐BrowserOS 📝 A private, open-source AI browser that automates tasks locally—no data leaks. 🌐 Opera Neon 📝 A next-gen AI browser that researches, builds, shops, and works even offline. 🚀 Genspark AI Browser 📝 A full-agentic browser that runs deep research and workflows on autopilot.

🤖 Want better AI video results? I test AI video tools with real prompts, real generations and honest comparisons — so you can see what actually works before wasting time or money. 🎬 Real AI video tests ⚡ Prompts & experiments 🔍 Honest tool comparisons 🧠 Results you can actually use Join NextAI 👇 https://t.me/+mzAemF0KOVs5NTc0

• Kernel Methods: Algorithms that transform data into higher dimensions to make it more separable. L • Latent Space: A representation of compressed data capturing underlying features. • Langchain: A framework for developing applications powered by language models. • LLM: Large Language Model, trained on vast text data to understand and generate human-like language. M • Mixture of Experts: A model architecture where different "experts" handle different parts of the input. • Multimodal AI: AI systems that process and integrate multiple types of data, like text and images. N • Neural Radiance Fields: A technique for generating 3D scenes from 2D images using neural networks. O • Objective Function: The function that models aim to optimize during training. • One-Shot Learning: Learning from a single example to make accurate predictions. Double Tap ❤️ For More

🤖 Generative AI Terms You Should Know A • Agents: Autonomous programs that perform tasks or make decisions on behalf of users. • Attention: A mechanism in neural networks that allows models to focus on relevant parts of the input sequence. • Autoencoders: Neural networks used for unsupervised learning, primarily for dimensionality reduction and feature learning. B • Back Propagation: An algorithm for training neural networks by propagating the error backward to update weights. • BigGAN: A type of Generative Adversarial Network (GAN) designed for high-resolution image generation. • Bias: Systematic errors in AI models due to prejudiced training data or flawed algorithms. C • Capsule Network: A neural network architecture that models hierarchical relationships, improving recognition tasks. • Conditional GAN: A GAN variant where both generator and discriminator receive additional information, enabling controlled generation. • Chain of Thought: A prompting technique that encourages models to reason step-by-step, enhancing problem-solving capabilities. D • DataSpeed: Refers to the rate at which data is processed or transmitted in AI systems. • Double Descent: A phenomenon where increasi

Your Data Science degree just got an AI update. Yeah. Things are moving fast. Python. SQL. Machine Learning. Deep Learning. MLOps. And now GenAI, LLMs, RAG & AI-powered workflows. An 8-month program with 20+ industry projects and live weekend classes. Maybe Data Science was just the beginning. https://lp.pwskills.com/data-science-ai-online-program-pw-skills?utm_source=telegram&utm_medium=influencer&utm_campaign=deepakAugDS