
LLMs: RAG vs. Fine-Tuning
When should you use retrieval augmented generation (RAG)? When should you fine-tune? Find out when and why and how to incorporate knowledge into LLMs.
Dr. Phil Winder
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17 min
When should you use retrieval augmented generation (RAG)? When should you fine-tune? Find out when and why and how to incorporate knowledge into LLMs.
Dr. Phil Winder
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17 min
Explore the benefits and challenges of large context windows in AI, learning to design effective prompts to enhance AI performance.
Natalia Kuzminykh
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14 min
Explore the EU's AI Act, its proactive approach to consumer protection, risk-based legislation, and its impact on global AI regulation and business practices.
Dr. Phil Winder
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20 min
A short introductory webinar to introduce you to the new EU AI Act. Learn what it is, how it impacts you, and what you need to do.
Dr. Phil Winder
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12 min
How do LLM tokenizers work? Understand what they do and learn how to calculate token counts for popular large language models, with examples.
Natalia Kuzminykh
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14 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 minCase studies and industry analysis from our team. No hype, roughly monthly.