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This webinar is an opportunity for product managers, software developers, machine learning engineers, and anyone. Cover how companies implementing Generative AI use cases are racing to catch up with power-hungry large models to reduce compute spend, including large language models (LLMs) and diffusion models.
Discover the latest developments and implementation of generative AI.
Cover how companies implement Generative AI around five core issues: data quality, data diversity, data annotation, model bias, and model evaluation.
Attend insightful sessions by top industry leaders and explore optimizing the algorithms and computing costs at scale for implementing generative AI.
Discover and unpack unique insights and key learnings to build the best simulation of dynamic humans to create high-quality data in the market today.
The first and only to optimize algorithms, memory footprint and compute for Generative AI.
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