Humanloop
Humanloop, the first LLM dev platform, is now part of Anthropic. We're sunsetting our platform to accelerate safe AI adoption. Thank you to our customers and community.
Editor's Verdict
Key Takeaways
- LLM Evaluation
- Prompt Management
- Monitoring
- Dataset Curation
In-Depth Review: What is Humanloop?
Humanloop pioneered the first development platform for LLM applications, setting industry standards for managing and evaluating AI. As we join Anthropic, we're transitioning our platform to focus on building a safe and beneficial AI future for everyone.
Core Features
LLM Evaluation
Evaluate and compare large language models with automated metrics and human feedback.
Prompt Management
Version control and manage prompts across your organization with collaboration tools.
Monitoring
Real-time monitoring of LLM outputs, costs, and latency to ensure quality and performance.
Dataset Curation
Curate high-quality datasets for fine-tuning and evaluation with easy labeling workflows.
Experimentation
Run A/B tests and experiments on different models, prompts, and parameters.
Pricing
Free
- Up to 5 projects
- 1000 evaluations per month
- Basic analytics
Pro
- Unlimited projects
- 10000 evaluations per month
- Advanced analytics
- Team collaboration
- Priority support
Enterprise
- Unlimited evaluations
- Custom integrations
- SSO
- Dedicated support
- On-premise deployment options
Pros and Cons
Pros
- Comprehensive EvaluationProvides a robust framework for evaluating LLM outputs with both automated and human feedback.
- User-Friendly InterfaceIntuitive dashboard and easy-to-use tools, lowering the barrier for non-technical users.
- Industry StandardsHelped define best practices for LLM development and evaluation.
- Collaboration FeaturesEnables teams to work together on prompts and evaluations with version control.
- ScalableHandles everything from small experiments to enterprise-scale deployments.
Cons
- Limited Model SupportInitially focused on a few models, though expanded over time.
- Pricing for Advanced FeaturesHigh-end features like custom integrations are only available on the Enterprise plan.
- Learning CurveNew users may need time to understand evaluation best practices.
- Dependency on External APIsRequires access to LLM providers, which may incur additional costs.
- SunsettingThe platform is being phased out as the team joins Anthropic.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
To integrate and evaluate LLMs in applications with robust testing workflows.
AI Researcher→ View Toolkit
To experiment with different models and prompts in a controlled environment.
Product Manager→ View Toolkit
To monitor LLM performance and make data-driven decisions on AI features.
Data Scientist→ View Toolkit
To curate datasets and analyze evaluation results for model improvement.
Machine Learning Engineer→ View Toolkit
To deploy and monitor LLMs at scale with production-ready tools.
Quality Assurance Engineer→ View Toolkit
To automate testing of LLM outputs and ensure they meet quality standards.
Frequently Asked Questions
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Mirascope
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ℹ️ Curation Disclosure: The overview and features of Humanloop were synthesized using AI and fact-checked by our curation team to ensure accuracy.
