TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation
The advent of large language models (LLMs) has revolutionized human-machine interactions, particularly in natural language understanding and generation applications. These AI- or LLM-backed virtual assistants hold the promise of serving as intelligent agents capable of autonomously reasoning, observing, and performing tasks articulated in natural language. However, it is still challenging for most agent frameworks to efficiently handle complex data structures (e.g., DataFrame), which are prevalent in data analytics tasks and domain-specific scenarios.
To address these challenges, we introduce TaskWeaver – a code-first agent framework