BrainBlog for Tines by Eric Newcomer
Gen Ai depends on data — the quality and quantity of data determines what it can do, and how well it can do it.
Training the large language models (LLMs) for chatbots such as ChatGPT, Claude, and Gemini on world wide web data means they can give you good responses to prompts based on that data.
Training LLMs on private data, such as incident response history data, observability and monitoring logs, and internal documentation on incident response procedures means you can get good responses to prompts about identifying, tracking, and resolving IT issues.
Tines Workbench trains its LLMs using internal data to improve productivity for incident response and similar internal workflows. The better the quality and quantity of the training data, the more Workbench helps you reduce time to resolution.
Click here to read the entire article.
Image courtesy Tines
