Main Purpose
The main purpose of LLMWare is to provide an integrated framework and tools for the development of enterprise-grade applications based on large language models (LLMs).
Key Features
- Open Source Research: LLMWare focuses on open-source research efforts to develop middleware and software that integrate LLMs.
- Automation-Focused Enterprise Models: LLMWare offers high-quality, automation-focused enterprise models that are available in Hugging Face.
- Coherent and Organized Framework: LLMWare provides a coherent, high-quality, integrated, and organized framework for development, enabling developers to build LLM applications for Retrieval Augmented Generation (RAG) and other use cases.
- Instant Start: LLMWare provides core objects and resources for developers to get started instantly.
Use Case
- Retrieval Augmented Generation (RAG): LLMWare's framework and models can be used for building applications that involve retrieval augmented generation, which combines the power of retrieval-based models and generative models.
- Enterprise Automation: LLMWare's automation-focused models and framework can be utilized in various enterprise automation use cases, enhancing efficiency and productivity.
