Perplexity AI：广泛深入研究需两种能力
Perplexity AI 教你做深度研究：既要搜得全，又要挖得深，少一个都不行。
Perplexity AI 在推文中指出，智能体进行广泛深入研究需具备两种关键能力：一是搜索范围足够广，以找到所有符合条件的实体；
二是深入调查足够深，为每个主张提供证据支持。该观点为AI搜索和推理任务提供了方法论指导。
Wide-and-deep research requires two capabilities. 1) Agents must search broadly enough to find all qualifying entities 2) Agents must investigate deep enough to support every claim with evidence.📊 4 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Perplexity AI, agents, search, reasoning models.
Source attribution: curated from Perplexity (@perplexity_ai).
