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Looking for GenAI internship/full-time roles! At Zomato, I built GPT-4o ticket systems, LLM eval pipelines & OCR tools (cut ops time 85%). For fun personal projects, Fine-tuned Mistral 7B for persona chat, built ANPR & haptic gloves too Skilled in P

𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻: 𝗧𝗵𝗲 𝗙𝗮𝘀𝘁𝗲𝘀𝘁-𝗚𝗿𝗼𝘄𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 LangChain is quickly emerging as the go to framework for developing AI agents and intelligent LLM-powered applications. In a short

How Flcit Works? Ask any question related to startup validation, market analysis, finance, risk and Flict runs a multi-agent debate and presents detailed verdicts with confidence scores while Finnaly judges the perspectives with strong reasoning and

10 Best LLM Tools to Simplify Your Workflow 1️⃣ LangChain LangChain's flexibility suits complex AI and multi-stage processing. 2️⃣ Cohere Cohere offers integration, scalability, and customization. 3️⃣ Falcon Falcon offers cost-effective, high-per

✅ Actively Looking for Full-Time Opportunities 📍 Location: Bangalore / Remote / Hybrid 💼 Roles Targeted: Data Analyst / Data Engineer AI/ML Engineer (GenAI, NLP, DL) Software Developer (Python, Backend, APIs) Cloud Engineer / DevOps (Entry-leve

We’re Hiring – Backend & AI/ML Engineers We’re assembling a core team to build something ambitious from the ground up. Looking for passionate people who love solving tough problems and creating from scratch. Backend Engineer (Python/FastAPI/Node.js

From Emotional AI to Enterprise Infrastructure: The Story of Friday AI I don’t know whether to call it a phobia or obsession, but when it comes to my work, I chase correctness relentlessly. I’m not perfect, but I’m consistent. Where It Started Fri

LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance

People want to jump into AI fast. But you can’t skip the basics. Learn system design before AI agent frameworks. Learn data cleaning before fine-tuning. Learn APIs before MCP. Learn databases before RAG. Learn real NLP before prompts. Learn classic