GPT4Tools Multimodal Tool Use (Yang 2023年)（ジーピーティー4ツールズ）
2023年Yang et al. (Microsoft+UCAS)発表GPT4Tools・Industry-leading multimodal tool use LLM + Industry-leading visual tools + Industry-leading 23 multimodal tools + Industry-leading Vicuna-13B fine-tuned。
概要
GPT4Tools Multimodal Tool Use は、2023年Yang et al. (Microsoft+UCAS)発表GPT4Tools・Industry-leading multimodal tool use LLM 2023年 + Industry-leading 23 multimodal tools position確立。GPT4Tools specifications = Industry-leading multimodal tool use LLM (Industry-leading GPT4Tools 2023 + Industry-leading multimodal tool use + Industry-leading GPT4Tools flagship) + Industry-leading visual tools (Industry-leading visual tools image understanding/generation/editing) + Industry-leading 23 multimodal tools (Industry-leading 23 multimodal tools collection) + Industry-leading Vicuna-13B fine-tuned (Industry-leading Vicuna-13B fine-tuned)。
主な特徴・仕組み
- Authors: Industry-leading Rui Yang + Lin Song + Yanwei Li + Sijie Zhao + Yixiao Ge + Xiu Li + Ying Shan Tencent ARC Lab + Tsinghua + UCAS
- Year: 2023年 (arXiv 2023年5月発表 + NeurIPS 2023)
- Paper: Industry-leading "GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction" arXiv 2305.18752
- Method Type: Industry-leading multimodal tool use LLM
- Tools: Industry-leading 23 multimodal tools (image understanding/generation/editing/depth/segmentation)
- Base Model: Industry-leading Vicuna-13B fine-tuned
- Self-Instruction: Industry-leading self-instruction tool use teaching
- Visual Tools: Industry-leading image captioning + visual QA + DALL-E + ControlNet + Stable Diffusion
- Open Source: Industry-leading GPT4Tools GitHub StevenGrove/GPT4Tools
- Industry-Leading: Industry-leading multimodal tool use LLM Tencent ARC+Tsinghua
スペック比較表
| LLM Function Calling (2022-2024) | Year | Author/Org | Key Feature | Industry Position |
|---|---|---|---|---|
| GPT4Tools | 2023 | Yang Tencent ARC+Tsinghua | Multimodal tool use + visual tasks | Industry-leading multimodal tools |
| ToolLLM | 2023 | Qin Tsinghua | 16000+ real-world APIs + DFSDT | Industry-leading 16000+ APIs |
| Gorilla | 2023 | Patil UC Berkeley | 1600+ API calls + retrieval-augmented | Industry-leading 1600+ APIs |
| Toolformer | 2022 | Schick Meta FAIR | Self-supervised tool use + 5 tools | Industry-leading first viral |
| RestGPT | 2023 | Song Tsinghua | RESTful API control + online planner | Industry-leading RESTful API |
具体例・対応製品
- GPT4Tools (2023年, Yang et al. Tencent ARC+Tsinghua): Industry-leading multimodal tool use
- Industry-leading 23 multimodal tools image understanding/generation/editing: Industry-leading 23 multimodal tools
- Industry-leading Vicuna-13B fine-tuned: Industry-leading Vicuna-13B fine-tuned
- Industry-leading self-instruction tool use teaching: Industry-leading self-instruction
- Industry-leading image captioning + DALL-E + ControlNet + Stable Diffusion: Industry-leading visual tools ecosystem
- 競合 Toolformer + Gorilla + ToolLLM + RestGPT: Industry-leading function calling competitors
自作PCでの選び方・注意点
GPT4Tools Multimodal Tool Use は「Industry-leading multimodal tool use LLM + Industry-leading visual tools」「Industry-leading 23 multimodal tools + Industry-leading Vicuna-13B fine-tuned」用途のIndustry-leading multimodal tool use 2023年Yang et al. Tencent ARC+Tsinghua発表product。Industry-leading 23 multimodal tools (Industry-leading 23 multimodal tools image understanding/generation/editing/depth/segmentation + Industry-leading GPT4Tools 23 tools signature + Industry-leading multimodal tool collection) で Industry-leading 23 multimodal tools + Industry-leading GPT4Tools signature + Industry-leading multimodal collection。Industry-leading visual tools (Industry-leading image captioning + visual QA + DALL-E + ControlNet + Stable Diffusion + Industry-leading GPT4Tools visual ecosystem) で Industry-leading visual tools + Industry-leading GPT4Tools visual ecosystem。Industry-leading Vicuna-13B (Industry-leading Vicuna-13B fine-tuned + Industry-leading GPT4Tools Vicuna signature + Industry-leading LLaMA-based fine-tuned) で Industry-leading Vicuna-13B + Industry-leading GPT4Tools Vicuna signature + Industry-leading LLaMA-based。Industry-leading self-instruction (Industry-leading self-instruction tool use teaching + Industry-leading GPT4Tools self-instruction signature + Industry-leading self-supervised tool learning) で Industry-leading self-instruction + Industry-leading GPT4Tools self-instruction signature + Industry-leading self-supervised tool learning。Industry-leading Tencent ARC (Industry-leading Rui Yang + Lin Song + Yanwei Li + Yixiao Ge + Ying Shan Tencent ARC Lab + Tsinghua + UCAS authors + Industry-leading GPT4Tools GitHub StevenGrove/GPT4Tools + Industry-leading multimodal tool use LLM Tencent ARC+Tsinghua) で Industry-leading Yang+Song+Li+Ge+Shan Tencent ARC + Industry-leading StevenGrove/GPT4Tools + Industry-leading multimodal Tencent+Tsinghua。但しIndustry-leading Toolformer + Gorilla + ToolLLM + RestGPT competition (Industry-leading Toolformer Meta FAIR 5 tools text 2022 + Gorilla UC Berkeley 1600+ APIs text 2023 + ToolLLM Tsinghua 16000+ APIs text 2023 + RestGPT Tsinghua RESTful text 2023 vs GPT4Tools Tencent ARC+Tsinghua 23 multimodal tools visual 2023 trade-off) で Industry-leading 4-function calling competitors vs GPT4Tools + Industry-leading 23 multimodal tools + visual tools image understanding/generation/editing + Vicuna-13B fine-tuned + self-instruction + Tencent ARC+Tsinghua + UCAS 2023 unique advantage adoption alignment必須。
関連用語との違い
- vs Toolformer/Gorilla/ToolLLM (Text-based): GPT4Toolsは23 multimodal tools + visual tasks・他はtext-based tools
- vs Vicuna-7B vs Vicuna-13B: GPT4Toolsは Vicuna-13B fine-tuned + 23 multimodal tools・Vicuna-7Bは smaller scale
- vs RestGPT (RESTful 2023): GPT4Toolsはmultimodal visual・RestGPTはRESTful API control
よくある質問（FAQ）
Q1: GPT4Tools vs ToolLLM 違いは？ A: GPT4Tools (Industry-leading 23 multimodal tools image understanding/generation/editing/depth/segmentation + Vicuna-13B fine-tuned + self-instruction tool use teaching + image captioning + visual QA + DALL-E + ControlNet + Stable Diffusion + Yang + Song + Ge + Shan Tencent ARC + Tsinghua + UCAS 2023) vs ToolLLM (Industry-leading 16,464 real-world APIs from RapidAPI Hub 49 categories + DFSDT + ToolBench 126,486 instances + LLaMA-7B fine-tuned ToolLLaMA + ToolEval + outperforms GPT-3.5 + Qin + Liang + Liu Tsinghua + OpenBMB 2023)・Industry-leading 23 multimodal + visual + Vicuna-13B + self-instruction + Tencent ARC = GPT4Tools + Industry-leading 16000+ real-world + DFSDT + ToolBench + Tsinghua = ToolLLM preference judgment。
Q2: Industry-leading 23 multimodal tools + visual tools value は？ A: Industry-leading 23 multimodal + visual (Industry-leading 23 multimodal tools image understanding/generation/editing/depth/segmentation + Industry-leading image captioning + visual QA + DALL-E + ControlNet + Stable Diffusion + Industry-leading GPT4Tools visual ecosystem)。
Q3: Industry-leading Vicuna-13B + self-instruction value は？ A: Industry-leading Vicuna-13B + self-instruction (Industry-leading Vicuna-13B fine-tuned + Industry-leading self-instruction tool use teaching + Industry-leading GPT4Tools Vicuna self-instruction signature + Industry-leading self-supervised tool learning)。
まとめ
GPT4Tools = 2023年Yang et al. Tencent ARC + Tsinghua + UCAS発表のmultimodal tool use LLM。Industry-leading 23 multimodal tools image understanding/generation/editing/depth/segmentation + Industry-leading Vicuna-13B fine-tuned + Industry-leading self-instruction tool use teaching + Industry-leading image captioning + visual QA + DALL-E + ControlNet + Stable Diffusion visual tools + Industry-leading Rui Yang + Lin Song + Yanwei Li + Sijie Zhao + Yixiao Ge + Xiu Li + Ying Shan Tencent ARC Lab + Tsinghua + UCAS authors + Industry-leading GPT4Tools GitHub StevenGrove/GPT4Tools open source + Industry-leading multimodal tool use LLM Tencent ARC+Tsinghua 2023 position確立。