AI Deep Explorer | f... • 6m
"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 MoreEntrepreneur | Build... • 24d
Hiring AI/ML Engineer 🚀 Join us to shape the future of AI. Work hands-on with LLMs, transformers, and cutting-edge architectures. Drive breakthroughs in model training, fine-tuning, and deployment that directly influence product and research outcom
See MoreDesign & Development... • 14d
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
See MoreAI Deep Explorer | f... • 5m
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
See MoreCo-founder Navdyut • 2m
Hello everyone! 👋 This is my first post here I’m excited to introduce Navagni, the no-code AI fine-tuning platform from Navdyut AI. Just bring your data (drag-and-drop, any format), pick a model (like Llama or Mistral), and Navagni automatically fin
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