Joppe Geluykens
Joppe Geluykens is an ML Solutions Architect at Predibase, helping enterprises productionize fine-tuned LLMs and scalable ML systems. He brings a strong background in applied machine learning, cloud infrastructure, and MLOps.
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Beyond Chat: Real Use Cases for LLMs in Production
Beyond Chat: Real Use Cases for LLMs in Production
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Personalizing Trading with Deep Learning on Snowflake
Case Study: Deep Learning on Snowflake
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Guide to Reward Functions in Reinforcement Fine-Tuning
Guide to Creating Reward Functions in RFT
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