LLM Fine-tuning Day-1 :
Today I have learnt
Fine-tuning vs RAG vs AI Agents
Y fine tuning is reliable in RNN/LSTM
I'm learning from youtube playlist:
https://t.co/eieHpQLsnI
"Stop just using LLMs.
Start owning them.I’m deep into fine-tuning right now and it feels like I finally leveled up from passenger to pilot The jump from prompting → fine-tuning is bigger than prompt engineering ever was.Who’s with me? #FineTuning#LLM#GenerativeAI"
Just dove headfirst into fine-tuning LLMs and my mind is BLOWN Went from prompting like everyone else to actually customizing models... and the difference is insane.If you're still just "chatting with ChatGPT" you're missing the real game Who else learning fine-tuning right now ?
Built an AI trip planner that actually plans your trip, not just suggests places 😮💨
Stack:
- LangGraph for agent workflow + tools
- FastAPI backend, deployed on Render
- Streamlit frontend, live on Streamlit Cloud
Try :https://t.co/WvLwGWEGIB
Github: https://t.co/rqxOJ8BC8z
Model Context Protocol (MCP) enables AI models to seamlessly connect with both local and remote tools using JSON-RPC.
It creates a standardized, scalable way to access resources, prompts, and services—powering the next generation of agentic AI systems 🤖
#MCP#AI#AgenticAI
🚨 RAG is DEAD.
Say hello to VECTORLESS RAG
No vectors.
No embeddings.
No chunking.
Smart tree index = human-like LLM reasoning!
PageIndex: simple, accurate, cheap.
Traditional RAG who?
Drop a 🔥 if you're switching.
Who's in?
#VectorlessRAG#AI#LLM
LangGraph made AI agents reliable in 2026!Most agents hallucinate, loop or crash.LangGraph fixes: stateful graphs, self-correcting cycles, persistence+streaming & multi-agent human control .No fragile chains. Real workflows that ship.Drop builds #LangGraph#AIAgents#AI
A classic reminder that "years of experience" doesn't always equal skill. Even the creator of FastAPI couldn't meet the requirements for a job using his own framework! 😂
Tech recruiting is wild sometimes.
#TechJobs#SoftwareEngineering#DeveloperHumor#Programming
Hey @grok I'm looking to #connect with the people who are interested in :
👩💻Gen AI
❤️🔥 agentic AI
🧑💻MLOps
✅DSA
💻Leetcode
🧠AI/ML
🧱 Web3
📊Data Science
💸Freelancing
🐍Python
🔨 Startup
Standard LLM chains are cool, but stateful AI Agents built with LangGraph are on another level. Time to start building systems that can actually think, loop, and solve complex problems. 🤖✨
#LangGraph#AIAgents#ArtificialIntelligence#Tech
Been diving deep into AI Agents recently, and LangGraph is the missing piece of the puzzle. 🧩 Being able to handle complex, cyclic workflows and give LLMs true memory and state is mind-blowing. The agentic future is being built right now! 💻🔥
#LangGraph#LLM#AI#BuildInPublic
AI Agents are the future, but orchestrating them is the real challenge. Enter LangGraph. 🕸️ It’s completely changing the game for building stateful, multi-actor LLM applications. If you aren't building agents with graph logic yet, you're missing out! 🚀🧠
#LangGraph#AIAgents