Dataset-aware agent – understands the structure of the dataset (instruction, category, intent, response).; Function-calling with ReAct – the OpenAI model can invoke Python helpers such as count_intent ...

ReACT agent is more flexible than function calling agent, as it doesn’t rely on pre-defined functions. The LLM can choose its own actions based on its reasoning. ReACT agents are often used in ...

Here is the step-by-step breakdown of the tool planning and function calling for above torch example: Tool Planning. Identify the functions needed: torch.zeros, torch.ones, and torch.dot. Plan the ...

It could lead to advancements in large-scale LLM-based software development. It is recommended to investigate the achievable speedup with LLMCompiler compared to ReAct while considering both planning ...