Unverified50% confidenceFactExact time
raggy offers two modes for the answer generation stage: completing the full process through a local LLM (via Ollama), or calling remote models such as GPT and Claude through an API Key.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
Unverified现代大语言模型如GPT-4、Claude通过特定系统提示和结构化输出，能够自主决定调用外部工具，本质上是模型生成结构化JSON指令由运行时框架解析执行67% similarUnverifiedTypical local deployment solutions include using Ollama to quickly spin up open-source models, or building inference services on GPU servers via inference frameworks such as vLLM and FastChat.66% similarUnverifiedGPT系列底层架构基于自回归语言模型，通过逐Token预测的方式生成文本65% similarUnverifiedGPT-4、Mistral等大语言模型已通过MoE架构将不同输入路由至专门化的子网络处理65% similarUnverifiedA tiered model strategy uses high-capability models such as GPT-4o for planning and decision nodes, while employing GPT-4o-mini or local open-source models (such as Llama 3) for intermediate execution steps to control costs.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/906743API
curl https://kongchang.com/api/v1/knowledge/claims/906743MCP
get_claim(id=906743)