just shipped Onchain Roast 🔥 paste any wallet address and get BRUTALLY roasted by AI → scans 5 chains (ETH, Base, Polygon, Arbitrum, Optimism) → real balance + transaction data → AI-generated savage roasts → roast wall of shame dare to get roasted? https://onchain-roast.vercel.app built on @base 🔵 @jessepollak
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Introducing an exoskeleton-type robot designed to enhance mobility for users, allowing them to move safely and intuitively within their homes or communities. This innovative technology is set to transform the way individuals interact with their environments. #Robotics #RPA #ArtificialIntelligence #Innovation #Technology
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RAG vs Fine-tuning — Two Ways to Make LLMs Smarter When building AI applications, a common question arises: Should you use RAG or fine-tuning? Both approaches enhance LLM performance, but they address different challenges and operate in distinct ways. Here’s a breakdown: 1. RAG (Retrieval-Augmented Generation) Problem it solves:** LLMs lack knowledge of your private data or the latest information. How it works: - User sends a query - A retriever searches a knowledge base - Relevant documents are retrieved - The LLM receives the query along with the retrieved context - The model generates an answer Knowledge sources can include:** - PDFs - Documents - Vector databases - APIs - Web search - Code repositories In short:** RAG = LLM + external knowledge retrieval #AI #LLM #RAG #FineTuning #MachineLearning #GenAI
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