HoneyHive Q&A
What is HoneyHive?
HoneyHive provides evaluation and observability tools for teams building Generative AI applications.
How to use HoneyHive?
1. Collaborate within HoneyHive's unified LLMOps platform to evaluate prompts and models.\n2. Monitor performance in production.\n3. Manage and version prompts.\n4. Debug agents and RAG pipelines.\n5. Label datasets for evaluation and fine-tuning.
What is HoneyHive?
HoneyHive is a platform that provides evaluation and observability tools for teams building Generative AI applications.
How can HoneyHive help improve performance and reliability?
HoneyHive enables continuous testing and evaluation at each step of the development process, helping to improve performance and reliability of AI applications.
What is HoneyHive Cloud?
HoneyHive Cloud is the first enterprise platform purpose-built for testing, debugging, and monitoring LLM apps.
What are the core features of HoneyHive?
The core features of HoneyHive include evaluating prompts and models, monitoring performance in production, managing and versioning prompts, debugging agents and RAG pipelines, and labeling datasets for evaluation and fine-tuning.
Can HoneyHive be integrated with any model, framework, or cloud provider?
Yes, HoneyHive is model and framework agnostic, and can be integrated with any model, app orchestration framework, or cloud provider.
How does HoneyHive ensure trust and security?
HoneyHive utilizes industry-standard technologies and services to keep data secure and private, including private cloud hosting, end-to-end encryption, and dedicated support.
HoneyHive's Core Features
HoneyHive's Use Cases
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HoneyHive Categories: Large Language Models (LLMs)