The Learning Dev

Today, as part of my 30-Day GenAI Challenge, I built a small RAG application POC. I used: Python OpenAI for embeddings and summarization Qdrant as the vector database It’s a simple app where I used a PDF and created a chat application on top of it. @TheLearningDev

Is there anyone still using Devin?

@sangeetha_ignas One day at a time! But growing stronger. Keep going

Day 16🚀 of 30-Day GenAI Challenge by @TheLearningDev 📷Topic: Context Engineering ✍️Write → Save notes/memory outside context 🔎Select → Fetch only what’s relevant 📉Compress → Summarize or trim past steps 🔒Isolate → Split tasks/agents into smaller focused contexts

@senthilnadhanr That's the spirit. It is not easy to show up every day without fail, but you did it. Kudos to you Will be looking forward to your agent going live soon

Completed the Gen AI 30-Day Challenge 🚀 Learned a lot and stayed disciplined without skipping a day, though not always perfect. The shippable version isn’t ready yet, but I’ll share soon. Big thanks to @TheLearningDev for the structured schedule & insightful content!

🚀 Day 23 of my Generative AI 30-Day Challenge! 🧠Build Your Agent - Basic @TheLearningDev #BuildYourBasicAgent

@senthilnadhanr What are you building?

🚀 Day 22 of my Generative AI 30-Day Challenge! 🧠Build Your Agent @TheLearningDev #BuildYourAgent

🚀 Day 14 of my Generative AI 30-Day Challenge! 🧠MCP tools with Claude @TheLearningDev #MCP #Claude

Day 6🚀 of 30-Day GenAI Challenge by @TheLearningDev 📷Topic: Tool calling User → Model → Tool Call → App → Model → Final Answer *LLM : Selects the right tool and explains results in natural language. *Tool Calling : The model triggers external functions (tools) via JSON

Day 19 of 30 Day Gen AI Challenge 🤖 Building AI agent with a no-code tool like N8N. Today's session was helpful in learning to create workflows with N8N while building a super cool AI chat agent with a no code approach.

🚀 Day 13 of my Generative AI 30-Day Challenge! 🧠MCP 201 Learned more details about MCP @TheLearningDev #MCP

@sangeetha_ignas Whooohooo! That's an excellent grasp of the concept, Sangeetha. Keep learning, keep posting

Day 10 of #30DaysOfGenAI! 🚀 Today, I'm breaking down the key differences between Agentic AI, AI Agents, and traditional Workflows. Understanding this is crucial to see where AI is heading. Let's dive in! 👇 #LearnInPublic #AI @TheLearningDev

🚀 Day 11 of my Generative AI 30-Day Challenge! 🧠Free Fall Tried different prompting techniques with samples @TheLearningDev #FreeFall

Day 11 & Day 12 of #30DayOfGenAI! Day 11 was reflection, which led to some great new queries. Day 12 was a deep dive into the Model Context Protocol (MCP). It's a total game-changer for anyone building with AI agents! 🤖 @TheLearningDev

🚀 Day 12 of my Generative AI 30-Day Challenge! 🧠MCP 101 Learned about MCP 🔹MCP Architecture 🔹Tools, resources & prompts 🔹MCP Sample Projects @TheLearningDev #MCP

Day 8 of my #30ofGenAI challenge! Moved from theory to practice by building two different Retrieval-Augmented Generation (RAG) systems today. 🚀 #LearnInPublic @TheLearningDev

Day 6 of 30 Day Gen AI Challenge 🤖 I explored the world of LLM Tool calling and learned about: - Tool/Function Calling - Defining and executing custom tools - Advanced Tools with Pydantic Schemas - Defining Models & Tools w/LangChain - Tools and LLM as Agents

Day 6 of #30DaysOfGenAI: Function Calling. Key takeaways: How to set up with different LLMs, using LangChain for abstraction, and understanding how LLMs decide which functions to call. youtube.com/watch?v=gMeTK6… #LearnInPublic @TheLearningDev

🚀 Day 5 of my Generative AI 30-Day Challenge! 🧠Strategies for Secure AI 🔹Proxy - policy engine 🔹User AI to secure AI 🔹Scan, Monitor, RBAC 🔹Secure Model Deployment 🔹Zero-Trust AI Architecture 🔹Responsible AI Principles @TheLearningDev #AISecurity #AISecurityStrategies