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Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. One more embellishment is to use a graph neural network (GNN) trained on the documents. People who work in regulated environments (think: public sector, finance, healthcare, etc.)
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Dr. Chris Strear shared a remarkable story about applying the theory of constraints in healthcare. Citing the Navy’s “leadership factory”, he encouraged attendees to focus on tuning a system for building leaders, to give them the responsibility and ownership to hone their skills and come back “stronger” from missions.
As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” We’ll see it in healthcare. Is special-purpose training to fine-tune a model’s behavior an option? We’ll see it in customer service.
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal.
Hear how AWS infrastructure is efficient for your AI workloads to minimize environmental impact as you innovate with compute, storage, networking, and more. Learn from Nasdaq, whose AI-powered environmental, social, and governance (ESG) platform uses Amazon Bedrock and AWS Lambda.
Public API as -a-service has become a good business model: examples include social networks like Facebook/Twitter, messaging as a service like Twilio, and even credit card authorization platforms like Marqeta. stimulus','reform','medicare','franken','healthcare','payer','insurance','downvotes','hospitals','patients','option','health'] ? ?
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