Introducing PPLX online LLMs

Perplexity announced the public release of its pplx-7b-online and pplx-70b-online models through the pplx-api and Perplexity Labs, positioning them as internet-connected LLMs designed to improve response freshness and factuality. Built on Mistral-7B and Llama 2-70B, the models combine web search, indexing, crawling, ranked website excerpts, and fine-tuning to answer time-sensitive questions beyond their original training data. Perplexity evaluated the models against GPT-3.5 Turbo and Llama 2-70B Chat using human pairwise comparisons across helpfulness, factuality, freshness, and overall preference, with evaluators able to verify claims through online search. According to the company’s Elo-score and win-rate results, its online models matched or outperformed the comparison models, especially for current and accurate information. The release also makes its chat models generally available, introduces usage-based API pricing, provides Pro users with a recurring $5 monthly API credit, and promotes infrastructure powered by NVIDIA H100 GPUs.

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