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SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models
SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models
In the digital era, the widespread use of APIs is evident. However, scalable utilization of APIs poses a challenge due to structure divergence observed in online API documentation. This underscores the need for automat…
·ar5iv.labs.arxiv.org·
SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models
Prompt and empower your LLM, the tidy way
Prompt and empower your LLM, the tidy way
The tidyprompt package allows users to prompt and empower their large language models (LLMs) in a tidy way. It provides a framework to construct LLM prompts using tidyverse-inspired piping syntax, with a library of pre-built prompt wrappers and the option to build custom ones. Additionally, it supports structured LLM output extraction and validation, with automatic feedback and retries if necessary. Moreover, it enables specific LLM reasoning modes, autonomous R function calling for LLMs, and compatibility with any LLM provider.
·tjarkvandemerwe.github.io·
Prompt and empower your LLM, the tidy way
Provide me a comprehensive data model for the backend of a client portal / CRM
Provide me a comprehensive data model for the backend of a client portal / CRM
Designing a comprehensive data model for the backend of a client portal or Customer Relationship Management (CRM) system involves creating a structured database that can efficiently manage and process data related to user management, contact management, task management, sales pipeline, reporting, and interactions such as emails, calls, and transactions. This model will serve as the foundation...
·perplexity.ai·
Provide me a comprehensive data model for the backend of a client portal / CRM