Data Preparation Toolkit for LLM Application Developers

Description

In the world of AI, conversations often revolve around models but conclude with data. As the Generative AI landscape evolves, data preparation has become a critical phase in crafting high-performing Large Language Models (LLMs).

The success of LLMs hinges on the quality and quantity of the text and code corpora used during their training. The data preparation phase is essential for cleaning, filtering, and transforming datasets into a tokenized form, suitable for either pre-training or fine-tuning LLMs.

Key Takeaways:

• Discover how DPK fosters collaboration within the AI community.
• Learn how DPK can accelerate your development process and reduce time-to-value.
• See how DPK has been a driving force behind the IBM open-source Granite models.