Perplexity AI
An AI-powered answer engine that combines real-time web search with large language models to provide sourced, conversational answers to questions, challenging traditional search engines.
Perplexity has raised over $250 million and reached a $3 billion valuation, processing millions of queries daily. The platform cites sources for its answers, addressing the hallucination problem that plagues standalone LLMs. Perplexity competes with Google Search and Bing by offering a conversational, AI-native search experience. The company's Pro tier provides access to multiple frontier models. Perplexity represents the emerging category of AI-native search engines that may reshape how users find information online.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
Capex (Capital Expenditure)
Long-term investment spending by companies on physical assets like data centers, GPU clusters, and networking infrastructure — the backbone of AI deployment at scale.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
Frontier Model
The most capable and advanced AI models at any given time, typically trained with the largest compute budgets and achieving state-of-the-art performance on benchmarks.
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