

Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
Feb 28, 2022
Jennifer Glore, VP of Customer Engineering at SambaNova Systems, dives into the innovative world of AI in finance. She discusses how SambaNova has created a GPT model tailored for financial services, highlighting the industry's exciting yet challenging journey with transformers. Jennifer shares insights on hardware-software integration and the hurdles organizations face in deploying advanced AI models. Additionally, they explore data sourcing dilemmas and the importance of ongoing model adaptation to ensure accuracy and governance in AI applications.
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Achievable Milestones
- Break down large AI projects into smaller, achievable milestones.
- This helps demonstrate value and avoids getting stuck in "POC purgatory."
Enterprise GPT-3 Challenges
- Enterprises face challenges with GPT-3 like finding skilled resources and managing costs.
- SambaNova Systems offers pre-trained models and scalable solutions to address these challenges.
Industry-Specific Fine-Tuning
- Start by fine-tuning base GPT models with industry-specific data.
- Assess the model's accuracy within your industry's context before integrating it into workflows.