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?

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

🚀 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

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. https://t.co/EU0JopXli1 #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

Day 5/#30DaysOfGenAI. It was a free-fall day, so I chose my own topics: Prompt engineering for devs and a summary of Google's Prompt Engineering course. The TCREI framework and prompt structuring are my new favorite tools for building with LLMs. @TheLearningDev #LearnInPublic

Day 5🚀 of 30-Day GenAI Challenge by @TheLearningDev 🤖 Topic: Transformers *Transformers are AI models that learn to read, understand, & write text by analyzing large datasets. *Transformer > RNN. *Uses "Attention" Mechanism. *input->encode->decode->output

Day 4🚀 of 30-Day GenAI Challenge by @TheLearningDev 🤖 📷 Topic: Hands-on Prompt Engineering - Few-shot, CoT, ReAct Takeaway: Clear prompts and instructions are key.

If you haven't joined, here's the course link: https://t.co/Xv7pLoejSN @TheLearningDev @BhavaniRavi_ #LearnInPublic #TheLearningDev #AI #GenAI