Keynote Announced at MLOPs World & Generative AI World Summits
September 8th, 2023
Daniela Lopez de Luise
October 25th & 26th
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25-26 OCT 2023 | AUSTIN,TX
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Evaluation and monitoring are the heart of any reliable machine learning system.
But finding a stable reference point, a reliable comparison baseline, or even a decent performance metric can be surprisingly difficult in a world that is beset by changing conditions, feedback loops, and shifting distributions.
In this talk, we will look at some of the ways that these conditions show up in more traditional settings like click through prediction, and then see how they might reappear in the emerging world of productionized LLMs and generative models.
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Liran Hason
CEO & Co-Founder, Aporia
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Removing the Roadblocks to Build Great GenAI Products
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What You'll Learn:
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Common roadblocks organizations face deploying GenAI products
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A detailed framework on how to overcome them
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How to build GenAI with users and regulations in mind
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Shreya Rajpal
CEO and Co-founder, Guardrails
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Your AI Applications Need Guardrails: Here's How to Build Them
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What You'll Learn:
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Specific techniques and mechanisms to enable you to optimize LLM models
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Challenges and risks associated with LLMS
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How to use open-source platforms to mitigate risks and enhance the safety and efficiency of LLMs
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Fabiana Clemente
Chief Data Officer, YData
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Synthetic Data: Generative AI for Enhanced Data Quality in the Era of Foundational Models
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What You'll Learn:
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Solid understanding on core concepts such as foundational models and GenAI
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How synthetic data can enhance data quality
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Impact of data quality in LLMs, the role of synthetic data, bias and data privacy
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