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The natural language processing aspect is intriguing. Are you using a large language model like GPT for this? If so, how are you ensuring accuracy and preventing hallucinations? Also, consider adding a feature where the AI can suggest optimizations based on usage patterns across tools. That could be a game-changer
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๐ Free AI Tools for Tech Enthusiasts ๐ If you're looking to leverage AI for your projects, here are some free tools you can start using right away: ChatGPT Usage: Natural language processing, chatbots, content generation Link: chat.openai.com
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What Are Generative AI Hallucinations and Why Do They Happen? Generative AI hallucinations refer to instances where AI models like ChatGPT or other large language models produce outputs that sound plausible but are factually incorrect or entirely f
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Natural Language Processing for Indian languages India is one of the most linguistically diverse countries in the world, with 22 official languages and hundreds of regional dialects. To make technology truly accessible, we need Natural Language Proc
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โข Perplexity AI Explained ๐๐จโ๐ป โข Introduction: Perplexity AI is an AI-powered search engine that has raised $100 million in funding, with a Series B funding round of $73.6 million led by IVP and other investors. The company is valued at $520 mil
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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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