Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
Join Travis Addair, CTO of Predibase, in this exclusive webinar to learn:
- How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively
- Why implementing safeguards can significantly improve the development process of LLMs, ultimately leading to safer, more reliable, and robust real-world AI applications
- The hidden costs of commercial LLM APIs, and how your data can be leveraged as an asset to transition towards a more defensible and robust AI strategy built atop open source AI over time
- Benefits and practical solutions for effectively fine-tuning and productionizing task-specific LLMs to improve model quality, reduce latency, and decrease total cost of ownership
Register today to save your seat!
January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT
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