Artificial Intelligence
AI will not replace you but person using AI will🚀I make Artificial Intelligence easy for everyone so you can start with minimum effort.🚀Artificial Intelligence🚀Machine Learning🚀Deep Learning🚀Data Science🚀Python + R🚀AR and VRDm@Aiindian
Topics
AI Engineering Levels: From Basics to Production Systems
2 posts
How to Learn Generative AI: A Step-by-Step Roadmap
2 posts
How to Build Claude AI Skills with Anthropic's Free Guide
1 posts
Stanford CS336: Free Course to Become AI Architect vs API Caller
1 posts
Google's Full-Stack AI Operating System: Beyond Gemini Models
1 posts
5 AI Projects That Actually Get You Hired in 2024
1 posts
How to Use Claude Code for Free with Ollama and Open-Source Models
1 posts
How College Students Get Microsoft 365 Premium Free for 1 Year
1 posts
10 Essential AI Skills for Career Growth in 2026
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How to Fine-Tune LLMs: Complete Guide with LoRA and QLoRA
1 posts
ML Algorithms Explained as Cars: Simple Analogies for Beginners
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Top Python Libraries for Generative AI in 2026
1 posts
How to Detect AI-Generated Images Using Gradient Analysis
1 posts
How to Deploy AI Agents from Prototype to Production
1 posts
Latest AI News: NVIDIA, OpenAI, Anthropic & AI Agent Security
1 posts
8 Essential Machine Learning Algorithms for Real-World Problems
1 posts
Recent Posts
Top 10 Python Libraries for Generative AI You Need to Master in 2026 (The tools behind document agents, intelligent assistants, and next-gen interfaces.)
This Week in AI - Major Global Developments🚀🧠📈Foundation Models & Big AI Platforms* Anthropic’s Claude reportedly crossed 11 million daily active users, narrowing the usage gap with OpenAI’s ChatGPT and signaling stronger enterprise + developer adoption.* OpenAI is reported to have launched GPT-5.4 Mini and Nano, pushing smaller high-efficiency models for lower-cost deployment and edge inferenc...
🚨Anthropic dropped a FREE 33-page playbook revealing Claude's very own cheat code:The 'Skills' folder.Spend 30 minutes building it,and you’ll never have to explain your process again.Top-tier users don't just type commands, they build systems.Grab your free copy of Anthropic's official guide to building Claude skills right here:https://resources.anthropic.com/hubfs/The-Complete-Guide-to-Building-...
There are 2 career paths in AI right now:The API Caller: Knows how to use an API. (Low leverage, first to be automated, $150k salary).The Architect: Knows how to build the API. (High leverage, builds the tools, $500k+ salary).Bootcamps train you to be an API Caller. This free 17-video Stanford course trains you to be an Architect.It's CS336: Language Modeling from Scratch.The syllabus is pure sign...
There is a reason everyone is talking about Claude Code.It is theMost Powerful AI toolavailable.This is the full breakdown you need to understand it:You now no longer need to know coding to code.You don't need to write the code; you just manage the agents that write it.People are building some incredible apps and websites using it in a couple of hours max.Which is pretty crazy, all things consider...
If you understand these 8 classic ML algorithms, u can solve most real-world prediction problems even before touching deep learning.These 8 algorithms are timeless:Linear Regression — predict continuous values (pricing, demand, forecasting)Logistic Regression — classification baseline (fraud/churn/risk)Decision Trees — interpretable decision-makingRandom Forest — strong performance with minimal tu...
𝐌𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐬𝐞𝐞 𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐈 𝐚𝐬 "𝐣𝐮𝐬𝐭 𝐆𝐞𝐦𝐢𝐧𝐢."They are missing the bigger picture.Google is not competing on Models anymore. They are building a Full-Stack AI Operating System. Here is are the 6 Layer𝟏. 𝐓𝐡𝐞 𝐌𝐨𝐝𝐞𝐥𝐬Gemini 3 (Pro, Thinking, Flash, Fast) + GemmaThe reasoning and multimodal foundation from deep reasoning to low-latency, cost-efficient workloads.�...
I’m Head of AI/ML with more than 9+ years of experience.6 pieces of advice I would give to people in their 20s, who want to make a career in AI/ML in 2026:1️⃣𝗠𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝗯𝗼𝗿𝗶𝗻𝗴 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲 𝘀𝗵𝗶𝗻𝘆 𝗟𝗟𝗠 𝘁𝗿𝗶𝗰𝗸𝘀→ Nail linear regression, regularisation, loss functions, TF-IDF & BM25.→ Explain tokenisation and embeddings from scratch - don’t jus...
5 AI projects that (actually) get you hired.Most resumes get ignored, these won't:1 → RAG from ScratchBuild retrieval systems properly.No framework shortcuts.https://github.com/langchain-ai/rag-from-scratch2 → AI Social Media AgentAutonomous content generation.Real world automation.https://github.com/langchain-ai/social-media-agent3 → Medical Image AnalysisHealthcare AI applications.Production rea...
This is huge.Now you can use Claude Code for FREE:Ollama is now compatible with the anthropic messages API. which means you can use Claude code with open-source models.Think about that for a second. the entire Claude harness:- the agentic loops- the tool use- the coding workflowsAll powered by private LLMs running on your own machine.https://dailydoseofds.github.io/ai-engg-book?trk=public_post_com...
🚨BIG news for students!🚨College students can now get 1 YEAR FREE ofMicrosoft 365 Premium - AI + LinkedIn Premium+🎓💻That means:✨Career tools on LinkedIn✨Get the ultimate AI experience✨Word, Excel, PowerPoint & more✨Resume building, job prep, and productivity — all freeThis is one of the most exciting student perks Microsoft launched🙌Don’t miss it —share with every college student you know!🔗Li...
The most expensive AI education in the world is now FREE — most will ignore it🛑That’s the real gap in 2026.Next year, winners won’t be the people who know AI.They’ll be the ones who turn complexity into progress while others stay busy and burnt out.After leading AI and digital transformation across legal tech, housing, government, and professional bodies — here are the 10 capabilities that actual...
🚀If you’re entering an AI career right now, here’s the truth:It’s not about learning “everything.”It’s about learning the right technical foundations — the ones the industry actually uses.These are the core skills that will matter for the next 5–10 years, no matter how fast AI evolves👇1️⃣Learn how modern LLMs actually workYou don’t need to know the math behind transformers,but you must understan...
From AI Agent Prototype to Production — One PDF covers everything.If you’re building *AI agents* and wondering how to take them from demo to real-world deployment, this is gold.It explains, in simple terms:• How to deploy AI agents safely• How to scale them for enterprise use• CI/CD, observability & trust in production• Real challenges of moving from prototype → production• Agent-to-Agent (A2A) in...
The best fine-tuning guide you'll find on arXiv this year.Covers:> NLP basics> PEFT/LoRA/QLoRA techniques> Mixture of Experts> Seven-stage fine-tuning pipelineSource:https://arxiv.org/pdf/2408.13296v1
🚗If ML Algorithms Were Cars…🚙Linear Regression — Maruti 800Simple, reliable, gets you from A to B.Struggles on curves, but hey… classic.🚕Logistic Regression — Auto-rickshawOnly two states: yes/no, 0/1, go/stop.Efficient, but not built for complex roads.🚐Decision Tree — Old School JeepTakes sharp turns at every split.Fun, but flips easily.😅🚜Random Forest — Tractor ConvoyA lot of vehicles work...
Synthetic Image Detection using Gradient Fields💡A simple luminance-gradient PCA analysis reveals a consistent separation between real photographs and diffusion-generated images.Real images produce coherent gradient fields tied to physical lighting and sensor characteristics, while diffusion samples show unstable high-frequency structures from the denoising process.By converting RGB to luminance, ...
AI research is exploding🔥— thousands of new papers every month. But these 9 built the foundation.Most developers jump straight into LLMs without understanding the foundational breakthroughs.Here's your reading roadmap ↓1️⃣𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐖𝐨𝐫𝐝 𝐑𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐩𝐚𝐜𝐞 (𝟐𝟎𝟏𝟑)Where it all began.Introduced word2vec and semantic w...
If you’re serious about learning Generative AI, stop chasing frameworks.Start here instead....Also, scrolling YouTube playlists or jumping into random courses doesn’t work.You need aAi learning roadmapwith layers of learning that compound.𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗚𝗲𝗻𝗔𝗜 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘄𝗮𝘆:𝟭. 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗕𝗹𝗼𝗰𝗸𝘀• Python (requests, APIs, JSON...
AI Engineering has levels to it:– Level 1: Using AIStart by mastering the fundamentals:-- Prompt engineering (zero-shot, few-shot, chain-of-thought)-- Calling APIs (OpenAI, Anthropic, Cohere, Hugging Face)-- Understanding tokens, context windows, and parameters (temperature, top-p)With just these basics, you can already solve real problems.– Level 2: Integrating AIMove from using AI to building wi...