Skills Tutorial
@SharpTech5
Learn About C#, MVC, Entity Framework, .Net Core, Sql Server, Jquery
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I should charge $199 for this. But I’m giving away my full n8n Automation Mastery Guide completely free. Inside you get: → 50+ ready-to-run automation workflows → Step-by-step mini-course to master n8n → Advanced AI + n8n prompts & agent setups no one shares n8n is the…
RAG - Retrieval Augmented Generation Here’s how it works in practice Knowledge Sources → PDFs, Docs, Databases Embeddings → your data broken into chunks & vectorized Vector Database → stores everything for quick retrieval Retrieval → finds the most relevant context (top-k…
🎃Angular is bringing treats, no tricks 🎃 With Signals, Standalone Components, and built-in Control Flow (@if, @for), starting your journey is easier and faster than ever. Forget the scary complexity of the past. Start building high-performance, amazing apps today 🚀 ➡️ Want to…
⚙️ 𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗻𝟴𝗻 𝗦𝘁𝗮𝗿𝘁𝗲𝗿 𝗞𝗶𝘁 (𝟮𝟬𝟮𝟱) Ready to automate your workflows and connect AI with no-code power? 🤖 This guide covers everything you need to master 𝗻𝟴𝗻 from 𝘁𝗿𝗶𝗴𝗴𝗲𝗿𝘀, 𝗮𝗰𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗻𝗼𝗱𝗲𝘀 to building smart, AI-driven…
🚀 The Complete Guide to Building AI Agents, From Zero to Production AI Agents are the next big leap in automation, they can think, plan, and execute tasks just like humans 🤖 This guide takes you from basics to building real, production-ready AI Agents — step by step! To get…
🚀 RAG has evolved far beyond its original form. When people hear Retrieval-Augmented Generation (RAG), they often think of the classic setup: retrieve documents → feed into LLM → generate an answer. But in practice, RAG has branched into many specialized patterns, each…
Software Development Best Practices ------ You can build full-stack applications using just plain English prompts: reflexdev.org/oQNapRx Give it a try :) Follow @techNmak
Your Vector RAG Blueprint. Here’s a clear 9-step pipeline to build a modern Vector RAG system from scratch. 1./ 𝐈𝐧𝐠𝐞𝐬𝐭 & 𝐏𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐃𝐚𝐭𝐚 ➞ Start with tools like web scraping libraries/services (e.g., Firecrawl), data connectors (e.g., for databases, APIs),…
The ultimate Full-stack AI Engineering roadmap to go from 0 to 100. This is the exact mapped-out path on what it actually takes to go from Beginner → Full-Stack AI Engineer. > Start with Coding Fundamentals. > Learn Python, Bash, Git, and testing. > Every strong AI engineer…
3 Ways to Fine-Tune LLMs for Text Encoding Credit : TheAiEdge
𝐇𝐨𝐰 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭: 1️⃣ System Prompt Define your agent’s personality, capabilities, and boundaries. This is its brain’s instruction manual. 2️⃣ LLM (Large Language Model) Choose the engine: GPT-4, Claude, Mistral, or an open-source model — pick based on…
India’s technical usage of Claude at 50%, higher than 30% in rest of the world, Anthropic says moneycontrol.com/artificial-int…
LLM Generation Parameters These are the primary controls used to influence the output of a Large Language Model. 1./ Temperature ◾ Controls the randomness of the output. It is applied to the probability distribution of the next possible tokens. ◾ Low Temperature (e.g., 0.2):…
This repository is all you need to learn and build a RAG application! It’s a comprehensive repository covering Retrieval-Augmented Generation from the ground up. Here’s what it covers: • Query Construction – Translating natural language into structured queries (SQL, Cypher,…
Your RAG system is probably broken. Here's how to fix it in 2025. (𝗔𝗹𝗺𝗼𝘀𝘁!) 𝗘𝘃𝗲𝗿𝘆 𝗔𝗜 𝘁𝗲𝗮𝗺 𝗵𝗮𝘀 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: their RAG retrieves irrelevant chunks, hallucinates answers, and performs worse than expected. Here’s how to fix it: 𝗦𝘁𝗼𝗽…
"Foundations of Machine Learning" A MUST while starting AI/ML. Absolutely Beginner friendly.
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