Vicuna vs Voyager
Side-by-side comparison · Updated April 2026
| Description | Vicuna-13B is an open-source chatbot created by fine-tuning the LLaMA model with 70K user-shared conversations from ShareGPT.com. The model, evaluated using GPT-4, showcases over 90% of the quality of prominent chatbots like OpenAI's ChatGPT and Google Bard, at a training cost of approximately $300. The project improves on previous models like Stanford's Alpaca and introduces scalable infrastructure for its deployment. While preliminary evaluations are promising, further rigorous testing is needed to confirm these findings. The code, weights, and an online demo are publicly available for non-commercial use. | Voyager: An Open-Ended Embodied Agent with Large Language Models is a collaborative research project involving contributors from NVIDIA, Caltech, UT Austin, Stanford, and ASU. The project aims to develop an AI agent that leverages large language models for open-ended tasks in various environments. The authors include Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi 'Jim' Fan, and Anima Anandkumar. The researchers have made significant contributions to the field of artificial intelligence and embodied agents. |
| Category | Chatbot | Research |
| Rating | No reviews | No reviews |
| Pricing | N/A | N/A |
| Starting Price | N/A | N/A |
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| Tags | open-source chatbotfine-tuning LLaMA modeluser-shared conversationsevaluation using GPT-4quality comparison | collaborative researchNVIDIACaltechUT AustinStanford |
| Features | ||
| Open-source | ||
| Fine-tuned with user-shared conversations | ||
| Cost-effective training | ||
| High-quality output | ||
| Enhanced training scripts | ||
| Lightweight distributed serving system | ||
| Evaluation by GPT-4 | ||
| Publicly available code and weights | ||
| Scalable infrastructure | ||
| Interactive online demo | ||
| Use of large language models | ||
| Adaptability to various tasks and environments | ||
| Collaborative development | ||
| Contributions to AI, machine learning, and embodied agents | ||
| Applications in diverse fields | ||
| Research from top institutions | ||
| View Vicuna | View Voyager | |