Story321.com
🤖Browse Models (32)
G

Gemma

Gemma is a family of lightweight, open-source AI models from Google DeepMind that deliver powerful performance for text generation, question answering, and various language tasks.

How to Write Effective Prompts for Gemma

Master the art of prompt engineering to get the best results from Gemma models

Key Elements of a Good Prompt

Clear Instructions

Be specific and direct about what you want the model to do. Avoid ambiguous language.

Example: Summarize the following article in three bullet points focusing on the main findings:

Context Provision

Provide relevant background information that helps the model understand the task better.

Example: You are a technical writer. Explain quantum computing to a high school student:

Output Format Specification

Define the structure and format you want for the response to ensure consistency.

Example: Create a table with three columns: Feature, Description, and Use Case

Examples (Few-Shot)

Include examples of the desired output to guide the model's responses.

Example: Convert these sentences to questions. Example: 'The sky is blue.' → 'What color is the sky?'

Pro Tips for Advanced Prompting

✓

Use System Prompts

Set the model's role and behavior at the beginning of your conversation to maintain consistency throughout the interaction.

✓

Break Down Complex Tasks

Divide complicated requests into smaller, sequential steps to improve accuracy and clarity of responses.

✓

Iterate and Refine

Start with a basic prompt and progressively refine it based on the model's responses to achieve optimal results.

Basic vs. Enhanced Prompts

✗
Basic

"Write about climate change."

✓
Enhanced

"Write a 200-word informative paragraph about the main causes of climate change, focusing on human activities. Include at least three specific examples."

✗
Basic

"Translate this to Spanish."

✓
Enhanced

"Translate the following business email to Spanish, maintaining a formal tone and preserving the original formatting:"

✗
Basic

"Help me code."

✓
Enhanced

"Write a Python function that takes a list of numbers and returns the sum of even numbers. Include docstring and type hints."

How to Use Gemma Models

Get started with Gemma in just a few simple steps. Whether you're building a chatbot, generating content, or analyzing text, Gemma is ready to help.

1

Select the Gemma Model

Navigate to the model library and choose the Gemma variant that best fits your needs. Consider factors like model size and task requirements.

2

Craft Your Prompt

Write a clear and specific prompt describing what you want the model to do. Include context, examples, and formatting instructions as needed.

3

Adjust Parameters

Fine-tune generation settings like temperature, max tokens, and top-p to control the creativity and length of the output.

4

Generate and Review

Submit your request and review the generated output. Iterate on your prompt if needed to refine the results.

Quick Tips

  • •Start with lower temperature values (0.3-0.5) for factual tasks and higher values (0.7-0.9) for creative tasks
  • •Use system prompts to set the model's behavior and role for more consistent results throughout your conversation
  • •Experiment with different phrasings of the same request to find what works best for your specific use case

Gemma models are continuously improving. Check back regularly for updates and new variants with enhanced capabilities.

FAQ

Frequently Asked Questions

Find answers to common questions about Gemma models

Ready to Experience Gemma?

Start building with Gemma today and discover how this powerful, efficient model can transform your applications.

Try Gemma Now

No setup required - start generating high-quality content in seconds