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Kyle Corbitt
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The Origin Story of OpenPipe
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Fine-Tuning Models with OpenPipe
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Understanding Overfitting and Fine-Tuning
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The Role of Hyperparameters
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Validating Fine-Tuned Models
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Enabling Tool Calls in Language Models
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Unleashing the Full Potential of Language Models
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Introduction to OpenPipe
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Changing the Configuration Parameter
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The Future of OpenPipe
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The Need for a Founder's Handbook
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Advice for Technical Founders and CEOs
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into an in-depth video lecture featuring Kyle Corbitt, CEO of OpenPipe, as he explores the intricacies of fine-tuning language models (LLMs). Learn about the origins of OpenPipe, the evolution of machine learning, and the process of fine-tuning models using their platform. Discover the importance of data curation, base model selection, and hyperparameter optimization. Explore the developer experience, including OpenPipe's SDK that seamlessly integrates with existing OpenAI workflows. Gain insights into overfitting in language models, validation processes, and enabling tool calls. Understand the future potential of LLMs and receive valuable advice for technical founders and CEOs in the AI space.

How to Fine-Tune Your Own Language Model - OpenPipe CEO Kyle Corbitt

Tejas Kumar
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