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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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• Perplexity AI Explained 🚀👨💻 • 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 1️⃣ Fin
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