Using LLM workflow to evaluate documents
With generative AI widely available, its productivity potential has attracted significant attention, especially among students and teachers. Given the prevalence of writing-based tasks in educational settings, the ability of large language models (LLMs) to automate aspects of writing processes has sparked a strong interest. With the rapid development of workflow-based approaches in generative AI, simply "dumping everything" into LLMs and expecting optimal results is becoming increasingly unwise. The idea of workflow, compared to traditional zero-shot prompting approach (e.g., casual usage of Chatbot), offers many distinct advantages: Improved Accuracy : Workflows can break down complex tasks into manageable steps, allowing LLMs to focus on specific aspects and produce more accurate results. Flexibility in Model Selection : Each step of the workflow can be customised using different LLMs, such as free models (llama 3) or proprietary models (GPT4o), or a combination of both. Th...