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GITAMย โขย 1y
Fine-Tuning: The Secret Sauce of AI Magic! Ever wonder how AI gets so smart? Itโs all about fine-tuning! Imagine a pre-trained model as a genius with general knowledge. ๐ง โจ Fine-tuning takes that genius and hones its skills for a specific task, li
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"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 1๏ธโฃ Fin
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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
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10 Best LLM Tools to Simplify Your Workflow 1๏ธโฃ LangChain LangChain's flexibility suits complex AI and multi-stage processing. 2๏ธโฃ Cohere Cohere offers integration, scalability, and customization. 3๏ธโฃ Falcon Falcon offers cost-effective, high-per
See MoreCo-founder Navdyutย โขย 9d
Hello everyone! ๐ This is my first post here Iโm 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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