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Perplexity AI, Inc. Perplexity AI is an AI chatbot -powered research and conversational search engine that answers queries using natural language predictive text. Launched in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [ 2] Perplexity works on a freemium model; the free product uses ...
Like a number of AI startups, Perplexity has managed to raise money in a tough environment. In 2023, $170.6 billion was invested across venture—that marks a decline of $71.6 billion from 2022 ...
Perplexity offers a Pro version for $20 per month that allows users to pick from various large language models, among them OpenAI's GPT-4, Anthropic's Claude 2.1, Google's Gemini, or the venture ...
LLMs are artificial neural networks that utilize the transformer architecture, invented in 2017. The largest and most capable LLMs, as of June 2024, are built with a decoder-only transformer-based architecture, which enables efficient processing and generation of large-scale text data. Historically, up to 2020, fine-tuning was the primary ...
(Reuters) -Japanese technology investor SoftBank Group Corp's Vision Fund 2 is investing between $10 million and $20 million in U.S. search startup Perplexity AI at a valuation of $3 billion ...
Major desktop search program. The full trial version downgrades after the trial period automatically to the free version, which is (anno 2018) limited to indexing a maximum of 10.000 files. Proprietary (30 day trial) DocFetcher: Cross-platform Open-source desktop search tool for Windows and Linux, based on Apache Lucene: Eclipse Public License
Perplexity makes money by offering a Pro version for $20 per month that allows users to pick from various large language models, among them OpenAI’s GPT-4, Anthropic’s Claude 2.1, or the ...
The perplexity is the exponentiation of the entropy, a more straightforward quantity. Entropy measures the expected or "average" number of bits required to encode the outcome of the random variable using an optimal variable-length code. It can also be regarded as the expected information gain from learning the outcome of the random variable ...
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