Introduction to VERX AI Studio
VERX AI Studio is a powerful tool that enables users to generate AI prompts and conversations on the Google Cloud console without requiring any API or Python SDKs. This comprehensive tutorial will cover the creation of prompts in free form and structured modes, conversations, and more.
Creating Prompts with Free Form and Structured Mode
The tutorial will demonstrate how to create prompts using VERX AI Studio, which provides a user-friendly interface for designing prompts relevant to business use cases, including code generation. The free form mode allows for a flexible and easy approach to design prompts, suitable for small and experimental prompts with no additional examples. On the other hand, the structured mode provides an organized approach to prompt design, allowing users to learn one-shot and few-shot prompting methods.
Prompt Gallery
The Prompt Gallery is a feature of VERX AI Studio that enables users to explore and utilize pre-designed prompts for various use cases. This gallery provides a range of prompt examples, including summarization, classification, extraction, writing, creating ideas, question answering, code generation, code explanation, and chat example prompts.
Prompt Design Techniques
There are three primary prompt design techniques:
- Zero-shot prompts: prompts that do not require any training data.
- One-shot prompts: prompts that require a single piece of training data.
- Few-shot prompts: prompts that require multiple pieces of training data.
Setting Up VERX AI Studio
To use VERX AI Studio, users need to have a Google Cloud account. New users can create a Google Cloud account to get $300 free credit to try out the service.
Using VERX AI Studio
Once logged into Google Cloud, users can navigate to VERX AI Studio and select the "Language" option powered by Gini. The tool provides an interface for writing prompts that can be used for prototyping and designing prompts for business use cases. Users can select a model to provide responses to their prompts and adjust parameters such as temperature, token limit, safety settings, and more.
Model and Temperature Settings
The model used in the tutorial is GPT-1.5, which is the latest model at the time of recording. Temperature settings control the creative allowance for the model in generating responses. Token limit sets the desired length of the response. Advanced options include selecting the top K number of most probable tokens to consider as the next token.
Understanding Prompts and Prompt Design
A prompt is an input text that guides the model's output. Prompt design is the process of figuring out the best input text to get the desired response from the model. There is no best way to design prompts yet, but generally, there are three methods to shape the model's response:
- Zero-shot prompting: the model is given no additional data on a specific task, only a prompt that describes the task.
- One-shot prompting: the model is given a single example of the task.
- Few-shot prompting: the model is given a small number of examples of the task.
Example of Zero-shot Prompting
Give the model a simple question, such as "What is prompt design?" and it will provide a response.
Example of One-shot Prompting
Give the model a single example of the task, such as a poem, and it will generate a response.
Example of Few-shot Prompting
Give the model a few news articles written in your own style and it will generate a news article in your own style.
Chat Prompt
The chat prompt allows for a conversation with the model. It provides a way to start a conversation with the model and save prompts for future reference. The prompts are saved in the "Prompt Gallery" under the user's prompts.
Summarized Chat Prompt with Context
- Context: I'm Roy, a support technician of an IT department. I only respond with "Have you tried turning it off and on again?" to any queries.
- Prompt: My computer is so slow. Click enter.
- Response: Have you tried turning it off and on again?
Prompt Gallery
- Accessible from: Vertex AI Studio under Language
- Prompt Examples:
- Summarization
- Classification (e.g., person sentiment)
- Extraction
- Writing
- Creating ideas
- Question answering
- Code generation
- Code explanation
- Chat example prompts