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Dr. Raza Habib discusses prompt engineering, prompt ops, and types of human feedback. They also cover building epic companies, the importance of feedback in model development, the speed of iteration in the enterprise, new pricing model for Humanloop, the value of logging data in AI models, hiring needs, impact of OpenAI's fine-tuning rollout, and advancements in AI in Europe.
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Quick takeaways

  • Human Loop is a platform that focuses on prompt engineering and evaluation for AI applications, particularly those utilizing large language models (LLMs).
  • Human Loop serves a variety of use cases and verticals within AI engineering, including writing assistants, chat-based applications, and code generation.

Deep dives

Human Loop: Prompt Engineering and Evaluation

Human Loop is a platform that focuses on prompt engineering and evaluation for AI applications, particularly those utilizing large language models (LLMs). The platform helps engineers measure and optimize LLM applications by providing tools for prompt management, versioning, and evaluation. It offers features such as a playground for interactive model testing, monitoring for production applications, A/B testing, prompt management, evaluation data storage, and fine-tuning capabilities. Human Loop caters to a range of use cases, including writing assistants, chat-based applications, content creation, and code generation. The platform is designed to facilitate collaboration between engineers, product managers, and other domain experts. It provides strong security measures and compliance with standards such as SOC2. Human Loop also offers a new pricing structure, including a free tier and scalable pricing based on usage volume. As the adoption of LLMs continues to grow, Human Loop aims to simplify and enhance the workflow of developing AI applications.

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