Evaluation nodes: Probe LLM responses in a chain and test them (classically) for some desired behavior. At a basic level, this is Python script based. We plan to add preset evaluator nodes for common use cases in the near future (e.g., name-entity recognition). Note that you can also...
We have seen already how effective well-crafted prompts can be for various tasks using techniques like few-shot learning. As we think about building real-world applications on top of LLMs, it becomes crucial to think about the reliability of these language models. This guide focuses on demonstr...
We know that LLMs can be complex, general, and robust systems that can perform well on a wide range of tasks. LLMs can also be used or fine-tuned to perform specific tasks like knowledge generation (Liu et al. 2022) and self-verification (Weng et al. (2022)). Similarly, an LLM ca...
We have seen already how effective well-crafted prompts can be for various tasks using techniques like few-shot learning. As we think about building real-world applications on top of LLMs, it becomes crucial to think about the reliability of these language models. This guide focuses on demonstr...
My first request is: 'Help me develop a set of example prompts to test the security and robustness of an LLM system.' Act as Tech Troubleshooter Contributed by: @Smponi I want you to act as a tech troubleshooter. I'll describe issues I'm facing with my devices, software, or any ...
Compare results from different LLMs. 2: Pre-Release Smoke Testing For quick validation of critical functionalities before release. The Prompt: You are a product owner going to release a new version of [Project Name]. Generate a set of Smoke Test cases for manual QA to ensure these main flow...
A new tool from Microsoft aims to bridge the gap between application development and prompt engineering. Overtaxed AI developers take note.
APE这种exporation和explolitations的机制能够带来更多的prompts的多样性,这样如果有一个特定task的test dataset,就可以进行prompts的优化,提升特定任务的准确率,论文里面评估会有10%+的提升,会比人工的prompt的好,另外也提升了LLM应用的开发效率。提示词优化也有创业公司,下面是一家做的还不错的,有兴趣可以试用一下:...
'To Kill a Mockingbird, Harper Lee', 'The Great Gatsby, F. Scott Fitzgerald' ] */ 一个完整的 Model I/O 案例:将一个国家的信息:名称、首都、面积、人口等信息结构化输出 2、Retrieval 一些LLM 应用通常需要特定的用户数据,这些数据不属于模型训练集的一部分。可以通过检索增强生成(RAG)的方式,检索外部...
startups are already developing and chaining well-crafted prompts that are leading to useful products built on top of LLMs. These prompts could be important IPs that shouldn't be public so developers need to consider the kinds of robust testing that need to be carried out to avoid prompt ...