
The Problem of Big Data in Small Context Windows (Part 2)
Phil explains how to further optimize LLM context windows. Part 2 summarizes the key strategies you can use to improve your use of the context window.
Dr. Phil Winder
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17 min
Phil explains how to further optimize LLM context windows. Part 2 summarizes the key strategies you can use to improve your use of the context window.
Dr. Phil Winder
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17 min
Dr. Phil Winder explores challenges of squeezing big data into LLMs' small context windows. Part 1 introduces the problem and the series.
Dr. Phil Winder
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12 min
A video presentation that delves into the architecture, training methodologies, data pipeline construction, and optimization techniques required for creating a state-of-the-art enterprise assistant.
Dr. Phil Winder
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14 min
Boost ChatGPT projects with LangChain & LlamaIndex. Learn more about how to leverage ChatGPT libraries to streamline your project.
Natalia Kuzminykh
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11 min
MLOps consulting in supply chain management. Learn how Winder.AI supported the MLOps platform team at Interos to deliver an internal AI platform for their developers.
Dr. Phil Winder
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6 min
Ideas and best practices discussing how to effectively monitor your large language model.
Natalia Kuzminykh
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7 min
Example Python code that to train and fine-tune a quantized large language model on your custom data on a single GPU.
Dr. Phil Winder
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9 min
Learn how to deploy your custom large language model or ChatGPT model. Top tips and best practices for deploying your own LLM.
Natalia Kuzminykh
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8 min
Winder.AI and Stability AI released Stable Audio, a groundbreaking generative AI service that allows you to generate high-quality music from a text prompt.
Dr. Phil Winder
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4 min
Learn how to train your own custom large language model or ChatGPT model. Top tips and best practices for training your own LLM.
Natalia Kuzminykh
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13 minCase studies and industry analysis from our team. No hype, roughly monthly.