Arcee AI & Intel Gaudi2: Training a Financial Insights Model Using Open Source Models

In a quest to unlock powerful financial insights through large language models (LLMs), Arcee AI utilized Habana Gaudi2 technology to train two advanced models: Llama 3.0 and Qwen2. Gaudi2's purpose-built hardware excels in deep learning tasks, optimizing memory management and enabling efficient scaling, even when managing billions of parameters. These features allowed Arcee AI to build robust language models tailored for financial insights, using a rich dataset of financial and SEC data. The models demonstrated strong accuracy in comprehending and summarizing financial documents, enhancing financial literacy for a variety of stakeholders. The training process involved specific configurations like DeepSpeed Zero-3 and gradient checkpointing to maximize Gaudi2's performance, proving it competitive and cost-effective for running small language models. This project illustrates the synergy between advanced hardware, optimized configurations, and high-quality data, showcasing the potential of Gaudi2 in transforming the finance domain.

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