User Feedback in LLM-Powered Applications
A guide to gathering user feedback in LLM applications, reviewing the state of the art, and some practical tips.
Dr. Phil Winder
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5 minMore articles
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Dr. Phil Winder
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5 min
AI in Aviation Case Study: Predicting Taxi Times
How Winder.AI partnered with a leading aviation business to drive operational efficiency through advanced taxi time predictions.
Dr. Phil Winder
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5 min
Scaling GenAI to Production: Strategies for Enterprise-Grade AI Deployment
Transition your GenAI prototypes to enterprise-grade production with scalable strategies, robust monitoring, cost management, and secure governance best practices.
Natalia Kuzminykh
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8 min
Enterprise AI Assistants: Combatting Fragmentation
Data silos are a cause of fragmentation in the enterprise. But what if we could use AI Assistants to connect them?
Dr. Phil Winder
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12 min
Keynote: Data Transparency, AI Use Cases, Data Sovereignty
Discover how AI drives business success with insights on data management, transparency, regulation, and actionable strategies for 2025.
Dr. Phil Winder
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7 min
Large Language Model Fine-Tuning via Context Stacking
Discover how context stacking revolutionises LLM fine-tuning with minimal data for faster AI deployment.
AI in 2024: A Year in Review
A look back at the year in AI, and a look forward to what's coming in 2025.
Dr. Phil Winder
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5 min
AI Strategy for CEOs: Aligning Tech with Business Goals
Phil Winder interviews Charles Humble discussing the state of AI strategy in business. Learn how to align the use of AI with your business goals.
Charles Humble
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2 min
Best LLMOps Tools: Comparison of Open-Source LLM Production Frameworks
Explore LLM agent and orchestration frameworks, LLMOps tools, and platforms for deploying language models effectively.
Natalia Kuzminykh
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17 min
Working with the EU AI Act - Interview with Kai Zenner
Phil Winder interviews Kai Zenner, Head of Office and Adviser for MEP Axel Voss, about the EU AI Act and its implications for the AI industry.
Dr. Phil Winder
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4 minNewsletter
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