The Challenge of Keeping AI Models Up to Date: Just-in-Time Training

🔥The race to develop larger and more powerful language models has created challenges in keeping them up to date.

💡Fine-tuning these models on new data is prohibitively expensive and difficult to scale.

💼IBM offers a solution called just-in-time training, using Watson Assistant and Watson Discovery to provide relevant and accurate information to businesses.

🚀Just-in-time training allows for continuous updates and ensures that AI models remain accurate and valuable for fact-based search.

🌐IBM's solution addresses the challenge of keeping AI models up to date and relevant for business-specific data.

Why is it difficult to keep AI models up to date?

—Keeping AI models up to date is difficult because fine-tuning them on new data is expensive and not easily scalable. It requires significant computational resources and expertise.

What is just-in-time training?

—Just-in-time training is a solution offered by IBM that uses Watson Assistant and Watson Discovery to provide relevant and accurate information to businesses. It allows AI models to be continuously updated with the latest data.

How does just-in-time training address the challenge of keeping AI models up to date?

—Just-in-time training enables AI models to stay up to date by leveraging Watson Assistant and Watson Discovery to access and process new information. It ensures that the models remain accurate and valuable for fact-based search.

What are the benefits of just-in-time training?

—Just-in-time training allows for continuous updates to AI models, making them more relevant and accurate. It also reduces the costs associated with fine-tuning models on new data.

Is just-in-time training suitable for all businesses?

—Just-in-time training can be valuable for businesses that rely on AI models for fact-based search and need to stay up to date with the latest information. However, the implementation may require appropriate infrastructure and expertise.

00:00The race to develop larger and more powerful language models has presented a challenge in keeping them up to date.

00:43Chad GPT, a popular AI model, had the issue of not being able to generate accurate responses to new instructions.

01:30Fine-tuning AI models on new data is prohibitively expensive and difficult to scale.

02:42IBM offers a solution called just-in-time training, using Watson Assistant and Watson Discovery to provide relevant and accurate information to businesses.

03:00Just-in-time training allows for continuous updates to AI models, making them more accurate and valuable for fact-based search.