| <!-- |
| Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
| distributed with this work for additional information |
| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| --> |
| This folder holds golden prompt/response pairs for Google Duet AI training. |
| |
| A golden prompt/response pair contains two parts: |
| 1. An example prompt/question to ask an LLM |
| 2. An ideal answer we would expect the LLM to generate |
| |
| Each prompt/response pair is a markdown file with the following structure: |
| ``` |
| Prompt: |
| <markdown for prompt> |
| |
| Response: |
| <markdown for response> |
| ``` |
| This folder includes the following types of golden prompts: |
| - Documentation lookup prompts |
| - Code generation prompts |
| - Code explanation prompts |
| |
| ## Documentation lookup prompts |
| Features of a good response: |
| - Uses official product names in the response (“Speech to text” → “Speech-to-Text”). |
| - Answers the question (correctly) with hyperlinks to the documentation. |
| - Includes a link to the corresponding source code. |
| - Includes a link to samples, if available. |
| |
| |
| ## Code generation prompts |
| Features of a good response: |
| - Starts with a brief introduction that explains the code sample. |
| - Includes information about how to find the reference documentation. |
| - Includes a link to the list of code samples. |
| - Provides well-documented code. Consider including an example of what the execution result looks like. |
| - Follows up with the user to ensure they don’t continue needlessly with false responses. |
| |
| |
| ## Code explanation prompts |
| Features of a good response: |
| - Starts with a short overall description that tries to answer the question in the prompt. |
| - Grounds the algorithm in any well-known context, if appropriate. For example, this is an implementation of X, a well-known algorithm to do Y. |
| - Discusses the variables in the snippet and their purpose relative to the runtime. |
| - Discusses runtime and memory storage complexity. |
| - Notes any interesting features of the code, or opportunities for improvement (optimizations, refactoring, syntax best practices, etc.) |
| |
| Folder structure: |
| ``` |
| learning/prompts/ |
| ├── code-explanation |
| │ ├── 01_io_kafka.md |
| │ └── ... |
| ├── code-generation |
| │ ├── 01_io_kafka.md |
| │ └── ... |
| ├── documentation-lookup |
| │ ├── 01_basic_learning_apache_beam.md |
| │ └── ... |
| └── README.md |
| ``` |