Braxvang/nist-llm-digital-assistant
Repository that demonstrates how to build a digital assistant using the Mistral Instruct Large Language Model (LLM) and LLAMA CPP. The system combines the LLM with Sentence Transformers (embeddings) in a Retrevial Augmented Generation Approach (RAG).
No commits in the last 6 months.
Stars
4
Forks
—
Language
Python
License
MIT
Category
Last pushed
Apr 06, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Braxvang/nist-llm-digital-assistant"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WangRongsheng/awesome-LLM-resources
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the...
katanaml/sparrow
Structured data extraction and instruction calling with ML, LLM and Vision LLM
luhengshiwo/LLMForEverybody
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.