..... • 1y
Hey everyone, I'm an engineering student geeking out over Generative AI. Loving LangChain, Hugging Face models, Crew.ai's chatbots, fine-tuning, and RAG. Plus, machine learning and data science are pretty cool too! Anyone else into this stuff? Looking to chat, share knowledge, and maybe even collaborate on some projects. Let's connect!
One prompt at a time • 6d
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
See MoreHey I am on Medial • 4m
I really want to work on AI projects but I'm inexperienced with company work, I used to work as a research intern at a lab and was a data science intern at another place. I really want to get into working on hf models, langchain, langgraph, fine-tuni
See MoreSoftware Engineer | ... • 7m
💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e
See MoreHey I am on Medial • 6m
🚀 Hiring for Generative AI Engineer (Remote) 🚀 AI-based SaaS company in the health sector seeks Generative AI Engineer. Requirements: - 1-3 years of experience in Generative AI - Expertise in LLMs and Diffusion Models - Strong foundation in compu
See MoreAI Deep Explorer | f... • 3m
"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin
See MoreAI Deep Explorer | f... • 2m
My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst
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