Enhancing Tool Usage in Large Language Models: The Path to Precision with Simulated Trial and Error

Developing large language models (LLMs) in artificial intelligence, such as OpenAI’s GPT series, marks a transformative era, bringing profound impacts across various sectors. These sophisticated models have become cornerstones for generating contextually rich and coherent text outputs, facilitating applications from automated content creation to nuanced customer service interactions. However, when integrated with external tools, their […]

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