Published Jan 23, 2024

Collaboration & evaluation for LLM apps

Explore the intersection of prompt engineering and AI collaboration with Raza Habib, CEO of Humanloop, as he delves into managing, evaluating, and integrating non-technical expertise in AI applications, emphasizing iterative model testing and user feedback for seamless deployment.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Practical AI

Collaboration & evaluation for LLM apps

Topics covered

Popular Clips

Evolution of Human Loop

AI Testing Insights

AI Model Evaluation

AI Use Cases

AI Collaboration Insights

Human Loop Development

Fine Tuning Insights

AI Model Integration

AI Trends

Iterative Model Evaluation

AI Customization Revolution

Human Loop System

Fine Tuning Insights

Bridging Technical Divide

Episode Highlights

Prompt Engineering

Model Evaluation

AI Collaboration

Related Episodes

Creating tested, reliable AI applications

The new AI app stack

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MLOps and tracking experiments with Allegro AI

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Collaboration & evaluation for LLM apps

Topics covered

Popular Clips

Episode Highlights

Prompt EngineeringRaza Habib, CEO of Humanloop, discusses the critical role of prompt engineering in AI development and how it bridges the gap between technical and non-technical teams. He highlights the importance of managing and evaluating prompts to ensure effective AI-driven applications.

Prompt Engineering

Model EvaluationRaza Habib explores strategies to prevent performance regressions in AI models and the role of user feedback in refining applications. He highlights the importance of iterative testing and evaluation to ensure models meet desired standards before deployment.

Model Evaluation

AI Collaboration

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