Perplexity AI has developed a new model by post-training on top of Qwen, achieving optimal accuracy-cost trade-offs. This model is specifically engineered for enhanced search capabilities and simultaneous tool usage, integrating the tool call router for unified functionality. This advancement aims to improve the efficiency and effectiveness of AI-driven search and task execution. AI
影响 Enhances search and tool-calling capabilities, potentially improving AI assistant efficiency.
排序理由 A research announcement detailing a new model post-trained on an existing foundation model.
在 X — Aravind Srinivas (Perplexity) 阅读 →
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
