Webinar: Tuning LLMs for personalized code recommendations w/watsonx Code Assistant for Ansible

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Summary

watsonx Code Assistant for Red Hat Ansible Lightspeed simplifies the process of generating Ansible Playbooks by using natural language inputs in the Ansible Task description. Now, organizations are empowered to further tune watsonx Code Assistant’s pre-trained LLM with their own organization’s unique Ansible data. Users can easily convert large volumes of existing Playbook content into a single JSONL file for training and customization specific to their business. With model tuning, IBM watsonx Code Assistant for Red Hat Ansible Lightspeed can discover unique modules used in your existing Playbooks and learn more about your teams’ module preferences, to provide personalized recommendations that are more similar and fit for your enterprise. Join us to learn more and see how you can try watsonx Code Assistant at no-cost!

In this webinar, we will cover:

• How watsonx Code Assistant for Red Hat Ansible simplifies the process of generating Ansible Playbooks by using natural language inputs
• How the tuning studio allows users to securely personalize the pre-trained model for their business, using existing Ansible playbook content.
• As your business grows, so does your Ansible playbook content. With the ability to periodically tune your coding assistant’s base model, watsonx Code Assistant for Red Hat Ansible Lightspeed can grow and evolve its content recommendations alongside your business.
• How the new administrator dashboard allows you to see metrics on how users are consuming the generative AI service.

Key speakers

Marty Turner, Principle Product Manager, Ansible Lightspeed



Matt Rodkey, Program Director - watsonx Code Assistant for Ansible