A fun-Colearning space to learn technical topics by building projects
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Joined November 2019
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The Learning Dev retweeted
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
The Learning Dev retweeted
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!
The Learning Dev retweeted
🚀 Day 23 of my Generative AI 30-Day Challenge!
🧠Build Your Agent - Basic
@TheLearningDev #BuildYourBasicAgent
The Learning Dev retweeted
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
The Learning Dev retweeted
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.
The Learning Dev retweeted
🚀 Day 13 of my Generative AI 30-Day Challenge!
🧠MCP 201
Learned more details about MCP
@TheLearningDev #MCP
The Learning Dev retweeted
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
The Learning Dev retweeted
🚀 Day 11 of my Generative AI 30-Day Challenge!
🧠Free Fall
Tried different prompting techniques with samples
@TheLearningDev #FreeFall
The Learning Dev retweeted
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
The Learning Dev retweeted
🚀 Day 12 of my Generative AI 30-Day Challenge!
🧠MCP 101
Learned about MCP
🔹MCP Architecture
🔹Tools, resources & prompts
🔹MCP Sample Projects
@TheLearningDev #MCP
The Learning Dev retweeted
Day 8 of my #30ofGenAI challenge! Moved from theory to practice by building two different Retrieval-Augmented Generation (RAG) systems today. 🚀 #LearnInPublic
@TheLearningDev
The Learning Dev retweeted
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
The Learning Dev retweeted
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=gMeTK6zz… #LearnInPublic
@TheLearningDev
The Learning Dev retweeted
🚀 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
The Learning Dev retweeted
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
The Learning Dev retweeted
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
The Learning Dev retweeted
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.
The Learning Dev retweeted
If you haven't joined, here's the course link: nas.io/thelearningdev/challe…
@TheLearningDev @BhavaniRavi_
#LearnInPublic #TheLearningDev #AI #GenAI
The Learning Dev retweeted
Day 2 🚀 of 30-Day GenAI Challenge by @TheLearningDev 🤖
Topic: Understanding Large Language Models (LLMs) - Fine-tuning, weights, neural networks, multimodality, jailbreaks, prompt injection, data poisoning...