Autoblocks 2.0: Enhance Your LLM Product Accuracy
Build superior AI products with Autoblocks 2.0, a collaborative platform that improves through user and expert feedback, optimizing testing, evaluation, and monitoring.
Features
- Collaborative Testing & Evaluation: A platform that enhances your LLM products through user feedback and expert reviews, ensuring better tests for better products.
- High-Quality Test Datasets: Curation tools to create precise test datasets, keeping an eye on production with observability tools.
- Flexible SDKs: Integrate seamlessly with any codebase or framework, providing the flexibility needed for modern AI development.
- Human-in-the-loop Feedback: Improve accuracy with feedback from both non-engineers and subject matter experts, aligning automated evaluation metrics with human preferences.
- Scale with Security: Engineered to meet rigorous privacy and security standards, ensuring safe scaling of your AI products.
Use Cases:
- Local Testing & Experimentation: Turbocharge your local testing processes to consistently deliver high-quality AI product iterations.
- Monitoring & Guardrails: Configure evaluations and guardrails online to maintain a safe and trusted user experience.
- AI Product Analytics: Connect AI product state directly to user outcomes, providing insights for continuous improvement.
- Prompt & Context Management: Enable prompt collaboration without breaking code, and optimize context pipelines for accurate outputs.
Autoblocks 2.0 empowers AI teams to enhance their products by integrating expert-driven feedback and advanced evaluation tools, achieving unmatched accuracy and reliability.


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