AI Community Rooted in India, Shaping the World

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AI Anytime

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AI Anytime Core Members

AI Anytime core members are experts in AI, GenAI, Agentic AI, Cybersecurity, ML, Cloud Computing, DSA, SDE, etc.—pioneers and pillars driving innovation.

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About AI Anytime

AI literacy is among the most in-demand skills globally, as highlighted by LinkedIn and industry reports. With the growing FOMO around AI, it’s easy to get lost in hype and headlines. AI Anytime exists to cut through that noise. We help individuals and organizations navigate the complexities of AI through hands-on learning, practical resources, and a community rooted in substance—not spectacle.

We’re a self-funded, research-first not-for-profit AI community. Our members lead cutting-edge research, speak at global conferences, judge at hackathons, and run impactful AI literacy programs across schools, colleges, and workplaces. From technical bootcamps to grassroots workshops, we believe in growing slow but strong—focusing on real knowledge, real skills, and real impact.

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Our Recent Activities

Highlights from Our Recent Engagements

Codebasics AI & Data Fest 2025

Sonu Kumar, founder of AI Anytime and CTO of Sporo Health, was a speaker at Codebasics AI & Data Fest 2025 at T-Hub, Hyderabad. He spoke on “Agentic AI Observability,” sharing insights on monitoring AI agents in production and tools like AgentOps for transparency and reliability.

Epitome 2025 by SDC GRIET

Served as a judge for a 2-day AI in Healthcare-themed hackathon at Gokaraju Rangaraju Engineering College, Hyderabad, evaluating innovative AI-driven healthcare solutions.

PyConf 2025 Hyderabad

Spoke at this national-level event at T-Hub, leading a workshop on AI/ML topics, sharing insights with developers and researchers.

HYDPY Hackathon

Judged AI agent-based solutions at Bilvantis Technologies, Hyderabad, assessing cutting-edge implementations of autonomous AI systems.

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Lead Generation AI Agents. AI Demos. #aiagents #shorts #youtubeshorts #ai #agents #agenticai #agi
In this video, I’m showing you how to deploy LLMs and VLMs using vLLM on RunC.AI instances – all on a single GPU. It’s fast, it’s simple, and it’s cheaper than RunPod. Why this matters: ⚡ RunC.AI gives you on-demand GPU power at super competitive rates 💰 I’m using an RTX 4090 instance at just ~$0.42/hr 🧠 Running vLLM to serve both language and vision-language models 🛠️ Setup is fast – no fluff, just results 📦 Perfect for: 🔹 Solo builders 🔹 Inference pipelines 🔹 Experimenting with open models on a budget 💬 Got questions or want me to go deeper in another video? Drop a comment. 👍 Like the video if this helped you. 🔔 And don’t forget to subscribe for more no-fluff AI infra content. RunC.AI here: https://www.runc.ai?ytag=rc_yt_vid0528 Join their Discord: https://discord.gg/Pb3VArQBbX Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #ai #RunCAI #cloud #llm #opensourceai #huggingface #vllm
Better Than RunPod? RunC.AI LLM Deploy and Inference
In this video, I walk you through building a fully autonomous agent that performs smart web testing using Playwright MCP (Model Context Protocol) and the agentic IDE TRAE. No manual clicks. Just prompt → test → report. 🔧 What’s Inside: ✨ 🤖 Build AI agents that can inspect, interact, and test web apps ✨ 🧠 Use TRAE’s “Builder” to wire agents with MCP support ✨ 🧪 Run complete tests on live websites—no human needed ✨ 📋 Auto-generate actionable test reports from agent output ✨ 🔮 See how this unlocks the future of hands-free QA and DevOps 💡 Whether you’re into AI agents, automated testing, or just curious about the next wave of agentic developer tools, this video breaks it down, step by step. 👇 Ready to see AI take over testing? Let’s go! Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #mcp #modelcontextprotocol #aiagents #ai #agenticai #qa #qualityassurance #automationtesting #manualtesting #testing
21 - AI Agents Will Replace Manual QA: Playwright MCP + Agentic IDE
Google’s Veo 3 is making headlines for its jaw-dropping AI video generation — 4K resolution, prompt-aware cinematic shots, and even audio syncing. Yes, it's a huge leap. But here’s the thing: even the most advanced models need honest feedback to get better. In this video, I break down a real example generated by Veo 3 — a simple scene where a boy turns around when called. What should be natural ends up bizarre: the neck rotates unrealistically, and his glasses disappear mid-turn. 💡 Why does this happen? We dive into the technical flaws: 1. Lack of physics-based modeling (no sense of anatomy or joint constraints) 2. Poor object permanence (glasses vanish) 3. Inconsistent frame-to-frame motion (temporal coherence issues) 4. Weak 3D understanding (rotation breaks realism) 🚀 Veo 3 is powerful, but these issues remind us that we still need: 1. Better biomechanics modeling 2. Object memory and persistence modules 3. Improved spatiotemporal consistency 4. Integration of 3D priors in frame synthesis 📣 I’m not here to dismiss Veo 3 — I believe in building forward. But we have to talk about what’s broken if we want to fix it. ✍️ Drop your thoughts in the comments: hype or helpful critique? Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #veo3 #google #veo #videogeneration #hollywood #ai
Is Veo 3 Too Overhyped? 😱
In this video, I showcase a Streamlit app powered by Mistral AI Agents API — featuring real-time code execution, image generation, web search, function calling, and full-blown agent orchestration. You’ll see how I use Mistral’s powerful agent framework to create autonomous workflows that think, act, and adapt — all within an intuitive interface. If you’re into AI agents, tool-augmented LLMs, or building smart assistants, this one’s for you. 👇 Drop a comment if you’ve got questions or ideas. 🔥 Like if you find it useful. 📌 Subscribe for more AI builds and no-fluff demos. GitHub Repo: https://github.com/AIAnytime/Mistral-AI-Agents-App Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #mistral #mistralai #aiagents #agenticai #ai
Mistral AI Agents Are INSANE 🤯
In this video, I break down how OpenAI's new MCP (Model Context Protocol) is now available directly in the Playground, making it insanely easy for non-engineers to explore powerful tools like deepwiki and zapier MCPs — without writing a single line of code. 👨‍💻 What you'll learn: ✨ What MCP is and how it connects ChatGPT to remote servers 🔍 How to analyze GitHub repos using the deepwiki MCP 🤖 How to automate tasks with the zapier MCP (like an RPA!) 🧪 A full walkthrough of my trial run — step by step No dev environment? No problem. You can start experimenting with these tools right from your browser. 💬 Got questions? Drop them in the comments! 👍 Like what you see? Smash that Like button 🔔 Don’t miss future drops — Subscribe and hit the bell Let’s dive in! 💡 AI Anytime Website: https://www.aianytime.net Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #openai #mcp #modelcontextprotocol #openaimcp #aiagents #ai
20 - MCP on OpenAI Playground: AI Power for Non-Coders!
In this video, I dive deep into Memory for AI Agents and explore the current SOTA in AI Agent Memory. I’m introducing OpenMemory MCP – a local, secure memory management layer designed to give developers full control. OpenMemory is your personal memory layer for LLMs – private, portable, and open-source. Your memories live locally, not in the cloud, so your data stays yours. Build smarter, more personalized AI agents without sacrificing privacy or performance. 🔍 Research Highlights: 1. +26% accuracy over OpenAI Memory on the LOCOMO benchmark 2. 91% faster responses than full-context retrieval 3. 90% lower token usage, keeping things fast and cost-effective This is part of the MCP Playlist – a series focused on MCP. 👉 Drop a like if this helped 🧠 Got thoughts or questions? Hit the comments 🔔 Don’t forget to subscribe for more deep dives GitHub: https://github.com/mem0ai/mem0/tree/main/openmemory AI Anytime Website: aianytime.net Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl #openmemory #mcp #modelcontextprotocol #aiagents #ai #mem0 #memory #agenticai
19 - OpenMemory MCP: Secure and Local Memory for AI Agents
In this video, I break down GitMCP – the open-source tool that's changing how AI tools like Cursor, Windsurf, etc. interact with your code. Whether you're tired of AI assistants making up APIs or you just want accurate, real-time documentation, GitMCP is the fix. 🔥 What is GitMCP? It's a remote Model Context Protocol (MCP) server that turns any GitHub repo into a live documentation hub. That means MCP Clients or AI tools can pull the latest code and docs straight from your repo — no more hallucinations. I show you how to use: 1. Specific Repos for laser-focused accuracy. 2. Chat Mode Whether you're building with bleeding-edge libraries or maintaining a giant legacy project, GitMCP ensures your AI coding assistants stay grounded and useful. Repo: https://github.com/idosal/git-mcp Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Buy Me a Coffee: https://buymeacoffee.com/aianytime AI Anytime Open Collective: https://opencollective.com/ai-anytime-collective Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl Paypal: sonu1000raw@gmail.com Our Website: https://aianytime.net/ My Personal Portfolio: https://sonukumar.site/ #gitmcp #mcp #aiagents #modelcontextprotocol #ai
18 - GitMCP: Turn Any GitHub Repo into an MCP Server
In this tutorial, I’ll show you how to build a multimodal RAG (Retrieval-Augmented Generation) system using ColPali and Byaldi. If you’re working with visually rich documents—think PDFs with tables, charts, and complex layouts—this setup changes the game. I walk you through: 🔍 What makes ColPali different from traditional OCR-based systems 🧩 How Byaldi simplifies integration and indexing 🖼️ Creating high-quality visual embeddings for smarter retrieval ⚙️ Building an end-to-end pipeline that plugs into your favorite LLM 👉 If you find this useful, like, comment, and subscribe for more AI tutorials. Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join To further support the channel, you can contribute via the following methods: Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW UPI: sonu1000raw@ybl GitHub: https://github.com/AIAnytime/MultiModal-RAG #multimodal #visionrag #RAG
Multimodal RAG: ColPali + Byaldi + Vision AI Models ⚡
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Meet the Founder

Sonu Kumar is the founder of AI Anytime, a global platform and community focused on democratizing artificial intelligence through hands-on education and open collaboration. He creates project-based tutorials that empower learners to build with cutting-edge technologies, regardless of their background.

Beyond his work as an educator and technologist, Sonu is an international speaker who frequently shares insights on Responsible AI, Agentic AI, AIOps, and AI Infrastructure at conferences, universities, and industry forums. His mission is to make AI both accessible and ethical—bridging the gap between innovation and real-world impact.

Sonu Kumar

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