Perplexity's default model, used as thefoundation modelfor its standard search, is an in-house modification of Meta's Llama 3 called Sonar. But Perplexity also offers access to several other LLMs for more advan
💥别再被PPL骗了!长文本LLM要这么评估! | 🔥问题:困惑度(PPL)是语言模型的经典评估指标,但在长文本任务中却频频翻车!PPL和长文本下游任务的性能相关程度相当低🙋♂️今天Sam和大家分享一篇北大王奕森团队解决这个问题的宝藏文章LongPPL📚WHAT IS WRONG WITH PERPLEXITY FOR LONG-CONTEXT LANGUAGE MODELING...
PerplexityLLM✅✅ LangchainFramework❌✅ LlamaIndexFramework✅✅ LanggraphFramework❌✅ DSPyFramework❌✅ CrewAIFramework❌✅ OllamaFramework❌✅ PineconeVector Database✅✅ ChromaDBVector Database✅✅ QDrantVector Database✅✅ ...
Perplexity AI is an AI-driven search engine and chatbot that uses large language models (LLMs) to answer user queries by drawing information from the web and providing cited sources within its responses. Similar to ChatGPT Search, the model combines a traditional search engine with an AI assist...
What is Perplexity AI? Meta AI vs. ChatGPT: Which is better? What is open source AI? This article was originally published in August 2023. The most recent update was in April 2025. Get productivity tips delivered straight to your inbox Subscribe We’ll email you 1-3 times per week—and...
Because Perplexity pulls in information from multiple web sources rather than just an LLM, I found I tended to get better results—and I could at least dive in and check what the articles it was summarizing were saying. When I asked it for a spaghetti bolognese recipe for eight people, ...
simulation of human intelligence processes by machines, especially computer systems. It includes learning, reasoning, and self-correction. Examples of AI applications includeexpert systems, natural language processing (NLP),speech recognition,machine vision, and generative tools like ChatGPT and Perplexity....
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma
Once a model is trained, it is important to evaluate its performance using metrics like perplexity, accuracy, and loss functions. Tools that assist these evaluations help developers refine the model and assess its readiness for deployment.
The Perplexity CEO confirmed that its Deep Research tool is built from a customized version of DeepSeek R1, but like any LLM, there are inaccuracies.