🌐[Website] 📝[Paper] 🤗[Data] 🤗[Model] 🤗[Demo] We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: — 🧩 Lumos consists of planning, grounding, and execution modules built based on LLAMA-2-7B/13B and off-the-shelf APIs. — 🤗 Lumos utilizes a unified data format that encompasses multiple task types, thereby enabling the developed agent framework to conveniently support a range of interactive tasks. 🌍 Diverse Training Data: — 🌍 Lumos is trained with ~56K diverse high-quality subgoal/action annotations from ground-truth reasoning steps in existing benchmarks with GPT-4. — ⚒️ Lumos data can be instrumental for future research in developing open-source agents for complex interactive tasks. 🚀 Competitive Performance: — 🚀 Lumos is comparable or even beats GPT-series agents on web/complex QA tasks Mind2Web and HotpotQA, and larger open agents on math and multimodal tasks. — 🚀 Lumos exceeds contemporaneous agents that have…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение
Задача: Генерация текста
Автор: ai2lumos
Теги: llama, language-agent, web-agent, reasoning, planning, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 10
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
