Empower: Developer platform for fine-tuned LLMs
Summary
Check out our doctor appointment booking bot live demo!The full potential of Large Language Models (LLMs) is realized not only through conversations but also through their integration with external APIs, enabling them to perform actions such as interacting with internal systems for identity verification, booking appointments, and processing checkouts. The capability to call functions is critical to empower a wide range of real-world use cases, including workflow automation and support agent tasks.Currently, the predominant solution involves using OpenAIs models, where users face a choice between GPT-4, which offers high response quality but is hindered by significant latency and high costs that limit its applicability in various use cases, and GPT-3.5, which, while faster and more affordable, is more likely to generate inaccurate responses. While the emergence of open-source software (OSS) models broadens possibilities and flexibility, none of the current major providers, such as Fireworks, Anyscale, or Together AI, adequately address this need in real-world use cases. These efforts ensure the best performance in real-world use cases, which typically involve multi-turn conversations interleaved with function calls. Multi-Turn Dataset: Designed to simulate a complex real-world environment, such as a healthcare appointment booking system, the model navigates between natural conversation, initiating function calls, asking clarifying questions, and, when necessary, transferring to customer service.