ksm26/Function-Calling-and-Data-Extraction-with-LLMs
Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data usability.
No commits in the last 6 months.
Stars
12
Forks
6
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/ksm26/Function-Calling-and-Data-Extraction-with-LLMs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
Ankushkhadka21/ragit
📄 Build RAG applications easily with ragit, a Python toolkit for document handling, vector...
Raghavan-04/RAG_model
A Dual-Stream Processing Architecture, where information extraction pipeline designed for the...
Anshu-312/rag-system-foundation
This repository provides a small, end-to-end example demonstrating ingestion, embedding, vector...
pronzzz/prismNLG
PrismNLG is a modular Natural Language Generation system built on Hugging Face Transformers,...
gsaini/legal-document-assistant
A high-precision, agentic RAG system for contract review, legal research, and automated citation mapping.