"LangChain agents are just kids with walkie-talkies pretending to build a rocket." Except this time… the rocket works. 🚀 #LangChain #MultiAgentSystems #AI
Prompt engineering meets tooling: Used LangChain tools to build a conversational AI that can write, refactor & document code. Adding agent reasoning + memory = game changer. #GenAI #LangChain #OpenAI #AItooling
Trained models on real-world medical data (heart, liver, thyroid, lung). What I learned: Feature scaling matters Ensemble > individual models Interpretability > blind accuracy #MachineLearning #XGBoost #HealthcareAI
Multi-agent AI systems are the future. I built a code review system using LangChain agents—CodeWriter, Optimizer, Reviewer—all collaborating via FastAPI & MongoDB. Feels like giving GPT its own engineering team. #LangChain #AIagents #OpenAI #FastAPI
Aspiring ML/AI practitioner | BTech student exploring the intersection of math, data, and intelligent systems. Open to internship opportunities (remote / on-site in India). 📂 GitHub: github.com/ManasRanjanJen… #MachineLearning #AI #DataScience #TechTwitter #Internship
🚀 Offering Freelance Gigs! If you're looking for help with: 📊 ML Models 🤖 AI Projects ⚙️ Backend with FastAPI 🎮 Gymnasium Environments I'm open for freelance work! My fiverr account : fiverr.com/s/XLdKeyk #AI #ML #Freelancer #Quant #FastAPI #PYTHON
Loved this resources provided by @jowettbrendan
I found 10 GitHub repositories that’ll teach you everything about AI agents & MCPs. Here's what's inside ↓
Great resource for people starting out or trying to upskill
AI Agents for Beginners Course by Microsoft

Love, this post by google.
Building AI agents? The right framework makes all the difference. Here are some popular open-source options that offer unique strengths for agent development 🧵↓
"Mathematics for Machine Learning" From Cambridge University – A perfect book for Absolute Beginners, now available FREE.

Agentic Document Extraction just got much faster! From previous 135sec median processing time down to 8sec. Extracts not just text but diagrams, charts, and form fields from PDFs to give LLM-ready output. Please see the video for details and some application ideas.
I’ve used MongoDB to store agent states, chat logs, and model metrics. But I wonder how do you log experiments or agent interactions in real-time? Any underrated MLOps tricks you'd recommend? #MLOps #MongoDB #LangChain #FastAPI
😶 Original seen on Memes for Programmers on Reddit

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration…
Should Replit Agent move from constant price per checkpoint ($1/4) and go to variable price per checkpoint? In other words, each checkpoint price is proportional to work done. Eg simple UI change could be 2c, while a massive refactor could be 50c.
MongoDB + FastAPI = clean, fast backend for AI apps. Used it to track agent outputs, scores, reasoning in my AI code reviewer. Want to scale AI? Invest in proper infra. #FastAPI #MongoDB #BackendForAI #DevTips #AI #GenAI
If your model trains perfectly on the first try, check if you accidentally leaked the labels. Trust issues 101 #MachineLearning #AI #DataScientist #DataAnalytics
Curious: How many of you are using LangChain in real projects vs just playing with prompts?" I built a full-stack multi-agent system with it, share yours! Check out all my projects here : github.com/ManasRanjanJen… #LangChain #GenAI #BuildInPublic
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