Knowledge: IBM Granite Knowledge

[ahmed-azraq]

Knowledge contribution about the IBM Granite model

Edit -- Created through InstructLab UI

Input given at the prompt

What is IBM Granite?

Response from the original model

IBM Granite is a secure, scalable, and flexible infrastructure solution designed to help organizations build, deploy, and manage applications and services in a hybrid cloud environment. It provides a wide range of features and benefits, including:

1. **Consistent Management:** IBM Granite enables consistent management of your infrastructure across public, private, and hybrid cloud environments, making it easier to manage your applications and services.
2. **Scalability:** IBM Granite offers unlimited scalability, allowing you to quickly and easily scale your infrastructure up or down as needed to meet your changing business needs.
3. **Security:** IBM Granite provides robust security features, including encryption, access controls, and intrusion detection, to help protect your applications and data.
4. **Flexibility:** IBM Granite supports a wide range of operating systems, applications, and databases, making it a flexible solution for your organization.
5. **Cost-Effective:** IBM Granite is a cost-effective solution, as it eliminates the need for you to invest in and manage your own infrastructure.

IBM Granite is a powerful and versatile infrastructure solution that can help your organization to improve efficiency, reduce costs, and increase agility. If you have any specific questions about IBM Granite or how it can benefit your organization, feel free to ask!`

Response from the fine-tuned model

╭───────────────────────── instructlab-granite-7b-lab-Q4_K_M.gguf ──────────────────────────╮
│ IBM Granite is an open-source foundation model developed by IBM Research, specifically    │
│ designed for conversational AI tasks. It is built on the basis of the Granite-7b-base     │
│ language model and is intended to be a versatile and adaptable platform for various       │
│ applications in the realm of artificial intelligence.                                     │
│                                                                                           │
│ The primary goal of IBM Granite is to engage in meaningful conversations with users,      │
│ providing accurate and contextually relevant responses. It has been pre-trained on an     │
│ extensive dataset, allowing it to understand and respond to a wide array of topics and    │
│ questions.                                                                                │
│                                                                                           │
│ Moreover, IBM Granite is designed to be a highly customizable model, enabling developers  │
│ to fine-tune it for specific use cases. By leveraging the power of fine-tuning, users can │
│ tailor the model's performance to meet their unique requirements, ensuring optimal        │
│ results in various scenarios.                                                             │
│                                                                                           │
│ In summary, IBM Granite is an advanced AI language model that combines the strengths of   │
│ open-source foundation models with customization capabilities, making it a powerful tool  │
│ for a wide range of conversational AI applications.                                       │
│                                                                                           │
│ If you have any specific questions about IBM Granite or would like to know more about its │
│ features and functionalities, please feel free to ask!                                    │
╰─────────────────────────────────────────────────────────────────── elapsed 5.782 seconds ─╯

Contribution checklist

• The contribution was tested with ilab generate
• No errors or warnings were produced by ilab generate
• All commits are signed off (DCO)
• The qna.yaml file contains at least 5 seed_examples
• The qna.yaml file was linted and prettified (yaml-validator can do both)
• An attribution.txt file in the same folder as the qna.yaml file
• Content does not include PII or otherwise sensitive or confidential information
• Content does not include anything documented in the project's Avoid these Topics guidelines

[instruct-lab-bot]

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[jjasghar]

Hi! Until we have our community model builds back up and running, many PRs will be held off. We are hoping to have them running again soon, and if you have any specific questions don't hesitate to comment here or reach out to #triage in slack.

[github-actions]

This pull request has been automatically marked as stale because it has not had activity within 15 days. It will be automatically closed if no further activity occurs within the next 31 days.

[instruct-lab-bot]

Beep, boop 🤖, Hi, I'm @instructlab-bot and I'm going to help you with your pull request. Thanks for you contribution! 🎉

I support the following commands:

• @instructlab-bot precheck -- Check existing model behavior using the questions in this proposed change.
• @instructlab-bot generate -- Generate a sample of synthetic data using the synthetic data generation backend infrastructure.
• @instructlab-bot generate-local -- Generate a sample of synthetic data using a local model.
• @instructlab-bot help -- Print this help message again.

Note

Results or Errors of these commands will be posted as a pull request check in the Checks section below

Note

Currently only maintainers belongs to [[taxonomy-triagers taxonomy-approvers taxonomy-maintainers instructlab-bot-triagers instructlab-bot-maintainers oversight-committee]] teams are allowed to run these commands.

[ahmed-azraq]

Hi Team, this was flagged as stale.

[ahmed-azraq]

@bjhargrave @jjasghar @joesepi

[github-actions]

This pull request has been automatically marked as stale because it has not had activity within 15 days. It will be automatically closed if no further activity occurs within the next 31 days.

[mcorbin-ibm]

@jjasghar This PR was likely created in the authoring/building of @ahmed-azraq 's tutorial on using InstructLab UI to contribute knowledge: https://developer.ibm.com/tutorials/awb-contributing-llm-granite-instructlab-ui/. In fact, he links to this PR in the final step.

[jjasghar]

We are not accepting the IBM Granite PRs at the moment. We have been overrun with submissions and need to figure out which one to accept.