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
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 Llama? Llama is a family of LLMs (and LLMs with vision capabilities, or LMMs) like OpenAI's GPT and Google Gemini. Currently, the version numbers are a bit of a mess. Meta is at Llama 4 for some models, and Llama 3.3, 3.2, and 3.1 for others. As more of the Llama 4...
While I can't guarantee every recipe will be cookable, Perplexity is at least likely to steer you in the right direction, and give you some links to recipes that are almost certain to work. Because of the LLM powering it, Perplexity also has a few features that go beyond a traditional...
💥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...
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Is All You Need," Google researchers introduced a novel architecture that uses self-attention mechanisms to improve model performance on a wide range of NLP tasks, such as translation, text generation and summarization. This transformer architecture was essential to developing contemporary LLMs, ...
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.
Understand LLM vs Generative AI and how ClickUp integrates both to streamline project management and boost productivity.
Note:There is a nuanced difference between LLM evaluation and LLM system evaluation. LLM evaluation is the process of assessing the performance of an LLM based on factors like accuracy, comprehension, perplexity, bias, and hallucination rate. LLM system evaluation determines a system's overall perfor...