📄 中文摘要
大型语言模型(LLM)为现代人工智能应用提供动力,包括聊天机器人、代码助手、文档分析和自动客户支持。然而,在大规模部署 LLM 时,团队面临许多挑战,尤其是在不同提供商的 API 兼容性和模型管理方面。这些挑战使得团队在实施和维护 LLM 时需要额外的策略和工具,以确保系统的高效运行和可扩展性。
📄 English Summary
What is an LLM Gateway?
Large language models (LLMs) drive modern AI applications, including chatbots, code assistants, document analysis, and automated customer support. However, deploying LLMs at scale presents challenges that many teams are unprepared for, particularly regarding API compatibility among different providers and model management. These challenges necessitate additional strategies and tools for teams to implement and maintain LLMs effectively, ensuring efficient operation and scalability of their systems.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等