Search Results for "catch"

Ensure high-quality LLM outputs with automatic evals. Use a representative sample of user inputs to reduce subjectivity when tuning prompts. Use built-in metrics, LLM-graded evals, or define your own custom metrics. Compare prompts and model outputs side-by-side, or integrate the library into your existing test/CI workflow. Use OpenAI, Anthropic, and open-source models like Llama and Vicuna, or integrate custom API providers for any LLM API.

...For developers or non-coding designers alike, groq-appgen lowers the barrier to building full web interfaces or small apps by leveraging LLM-driven code generation rather than writing boilerplate by hand. It integrates safety/content-checking via LlamaGuard to catch undesirable outputs, and includes session management, export/share functionality, and history tracking so you can iterate on designs or revert as needed.

...From any supported identifier - DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, NASA ADS bibcode, or WHO IRIS URL - it can: - resolveIdentifier - return structured bibliographic metadata (CSL JSON) - formatCitation - format into 10,000+ CSL styles (Vancouver, APA, AMA, IEEE, CSE, or any CSL style ID) - exportCitation - export to BibTeX, RIS, CSL JSON, EndNote, RefWorks, MEDLINE, Zotero RDF, CSV, or plain text - checkRetraction - surface retractions, corrections, and expressions of concern (Crossref / Retraction Watch) - checkOpenAccess - report OA status and the best legal landing/PDF URL (Unpaywall) - verifyCitation - cross-check a claimed citation against the record at its identifier, detecting the AI-driven "real DOI + invented title" fabrication pattern that simple resolution cannot catch MIT licensed; source on GitHub.