LLaVA (Large Language and Vision Assistant・Liu + UWaterloo 2023年-2024年)（ララヴァ）
2023年Liu et al. + UWaterloo + Microsoft発表LLaVA paper・Industry-leading Large Language and Vision Assistant Pioneer + Industry-leading visual instruction tuning Pioneer + Industry-leading open-source VLM foundation。
概要
LLaVA は、2023年Liu et al. + University of Waterloo + Microsoft発表LLaVA paper・Industry-leading Large Language and Vision Assistant Pioneer 2023年-2024年 + Industry-leading visual instruction tuning Pioneer position確立。LLaVA specifications = Industry-leading Large Language and Vision Assistant Pioneer (Industry-leading LLaVA + Industry-leading Large Language and Vision Assistant + Industry-leading Vision-Language Model Pioneer) + Industry-leading visual instruction tuning Pioneer (Industry-leading visual instruction tuning Pioneer + Industry-leading GPT-4 generated visual instruction data) + Industry-leading open-source VLM foundation (Industry-leading open-source VLM foundation + Industry-leading Llama base VLM)。
主な特徴・仕組み
- Authoring: Liu et al. + UWaterloo + Microsoft 2023年発表
- Paradigm: Industry-leading Large Language and Vision Assistant
- Mechanism: Industry-leading CLIP encoder + Llama backbone
- Heritage: Industry-leading 1年heritage LLaVA Pioneer
- UWaterloo Backing: Industry-leading University of Waterloo + Microsoft
- Industry Position: Industry-leading Vision-Language Model Pioneer
- vs Closed VLM: Industry-leading open-source VLM Pioneer vs closed GPT-4V
- Industry-Leading: Industry-leading open-source VLM foundation Pioneer
- Successors: Industry-leading Qwen-VL + InternVL + CogVLM + MiniCPM-V
- Use Cases: Industry-leading 全open-source VLM foundation paradigm
スペック比較表
| LLM Vision-Language Models (2023-2024) | Approach | Heritage | Industry Position |
|---|---|---|---|
| LLaVA (Liu UWaterloo) | CLIP + Llama visual instruction tuning Pioneer | 2023年UWaterloo Microsoft | Industry-leading VLM Pioneer foundation |
| Qwen-VL (Alibaba) | Alibaba Qwen-VL + InternViT | 2023年Alibaba | Industry-emerging Qwen-VL Alibaba |
| InternVL (Shanghai AI Lab) | InternViT + Vicuna/Llama | 2024年Shanghai AI Lab | Industry-emerging InternVL Shanghai |
| CogVLM (Zhipu) | Zhipu CogVLM Visual Expert | 2024年Zhipu | Industry-emerging CogVLM Zhipu |
| MiniCPM-V (OpenBMB) | OpenBMB MiniCPM-V efficient | 2024年OpenBMB | Industry-emerging MiniCPM-V OpenBMB |
具体例・対応製品
- LLaVA (Liu + UWaterloo・2023年-2024年): Industry-leading VLM Pioneer foundation
- Industry-leading CLIP encoder + Llama backbone: Industry-leading CLIP + Llama
- Industry-leading visual instruction tuning Pioneer: Industry-leading visual instruction tuning
- Industry-leading GPT-4 generated visual instruction data: Industry-leading GPT-4 visual instruction
- Industry-leading open-source VLM foundation Pioneer: Industry-leading open-source VLM Pioneer
- 競合 Qwen-VL + InternVL + CogVLM + MiniCPM-V: Industry-emerging VLM successor competitors
自作PCでの選び方・注意点
LLaVA は「Industry-leading Large Language and Vision Assistant Pioneer + Industry-leading visual instruction tuning Pioneer」「Industry-leading open-source VLM foundation Pioneer」用途のIndustry-leading VLM Pioneer 2023年Liu + UWaterloo + Microsoft product。Industry-leading CLIP + Llama (Industry-leading CLIP encoder + Llama backbone + Industry-leading visual instruction tuning + Industry-leading Vision-Language Model Pioneer foundation) で Industry-leading CLIP encoder + Llama backbone + Industry-leading visual instruction tuning + Industry-leading VLM Pioneer。Industry-leading visual instruction tuning (Industry-leading visual instruction tuning Pioneer + Industry-leading GPT-4 generated visual instruction data + Industry-leading visual instruction tuning paradigm) で Industry-leading visual instruction tuning + Industry-leading GPT-4 generated visual + Industry-leading paradigm。Industry-leading open-source VLM (Industry-leading open-source VLM foundation + Industry-leading Llama base VLM + Industry-leading open-source VLM foundation Pioneer) で Industry-leading open-source VLM + Industry-leading Llama base + Industry-leading open-source VLM foundation。但しIndustry-leading Qwen-VL + InternVL + CogVLM + MiniCPM-V successors competition (Industry-leading Qwen-VL Alibaba 2023 + InternVL Shanghai AI Lab 2024 + CogVLM Zhipu 2024 + MiniCPM-V OpenBMB 2024 vs LLaVA Pioneer foundation trade-off) で Industry-leading 4-successor evolution vs LLaVA Pioneer + Industry-leading visual instruction tuning + open-source VLM foundation + UWaterloo/Microsoft Pioneer foundation adoption alignment必須。
関連用語との違い
- vs Qwen-VL (Alibaba 2023年同年): LLaVAはVLM Pioneer + UWaterloo + visual instruction tuning Pioneer・Qwen-VLはAlibaba Qwen-VL + InternViT + Chinese
- vs InternVL (Shanghai AI Lab 2024年): LLaVAはPioneer + 2023年 + open-source VLM foundation・InternVLはInternViT + Vicuna/Llama + Shanghai 2024年
- vs CogVLM (Zhipu 2024年): LLaVAはVLM Pioneer + UWaterloo/Microsoft・CogVLMはVisual Expert + Zhipu Chinese
よくある質問（FAQ）
Q1: LLaVA vs Qwen-VL 違いは？ A: LLaVA (Liu + UWaterloo + Microsoft 2023年 + CLIP + Llama + visual instruction tuning Pioneer + open-source VLM foundation Pioneer) vs Qwen-VL (Alibaba 2023年同年 + Qwen-VL + InternViT + Chinese tech + Alibaba)・Industry-leading VLM Pioneer + UWaterloo + Microsoft + open-source = LLaVA + Industry-leading Qwen-VL + InternViT + Alibaba Chinese = Qwen-VL preference judgment。
Q2: Industry-leading visual instruction tuning Pioneer value は？ A: Industry-leading visual instruction tuning Pioneer (Industry-leading visual instruction tuning Pioneer + Industry-leading GPT-4 generated visual instruction data + Industry-leading visual instruction tuning paradigm)。
Q3: Industry-leading open-source VLM foundation Pioneer value は？ A: Industry-leading open-source VLM (Industry-leading open-source VLM foundation + Industry-leading Llama base VLM + Industry-leading Qwen-VL/InternVL/CogVLM/MiniCPM-V successors Pioneer foundation)。
まとめ
LLaVA = 2023年Liu et al. + UWaterloo + Microsoft発表のLarge Language and Vision Assistant Pioneer。Industry-leading CLIP encoder + Llama backbone + Industry-leading visual instruction tuning Pioneer + Industry-leading GPT-4 generated visual instruction data + Industry-leading University of Waterloo + Microsoft academic AI research backing + Industry-leading Qwen-VL + InternVL + CogVLM + MiniCPM-V Industry-leading successors Pioneer foundation + Industry-leading 1年heritage LLaVA VLM Pioneer + Industry-leading open-source VLM foundation Pioneer position確立。