https://studio--llm-judge-4sh1r.us-central1.hosted.app/
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^4.1.3^1.2.3^1.1.6^1.1.3^1.1.4^1.1.6^2.1.6^2.1.2^1.1.6^1.1.6^1.1.2^1.2.3^1.2.3^2.1.6^1.1.2^1.2.3^1.1.2^1.1.3^1.1.3^1.2.6^1.1.8^1.0.5^5.66.0^0.7.1^2.1.1^3.6.0^16.5.0^11.8.1^0.475.015.2.3^8.0.0^18.3.1^8.10.1^18.3.1^7.54.2^2.15.1^3.0.1^1.0.7^3.24.2^20^18^18^8^3.4.1^510
commits
Added a bar chart for visualizing data and changed logo
d11f17cView on GitHubFixed the app to work with testin Gemini's API with Perplexity's API
9a3ededView on GitHubControllable long-text generation is the process of feeding a language model both a prompt (e.g. “Write a story about a boy who dreams of sailing around the world”) and a set of control conditions—such as a target length (e.g. 1 000 ± 50 words), a style/tone (humorous vs. formal), and a desired structure (e.g. three-act narrative)—and expecting as output a coherent multi-paragraph document that strictly adheres to those constraints while maintaining fluency and relevance
3eb9ba8View on GitHub