Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
The MAD Podcast with Matt Turck
Evolution of Enterprise AI Applications and Infrastructure
This chapter explores the current status of enterprise AI applications in July 2024, discussing the shift towards deeper use cases beyond basic applications like composing emails. Topics include the application of AI in training field reps for a large insurance company, revolutionizing drug discovery, adapting to AI technology in big enterprises, evaluating generative AI, and the importance of fine-tuning models with memory. The chapter also delves into the evolving thinking around general purpose models versus proprietary models, the importance of continual fine-tuning and inference capabilities, mapping the inference market in the AI industry, and the availability of GPUs for enterprise customers.
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