Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
-
Updated
Jun 30, 2023 - Python
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
中文nlp解决方案(大模型、数据、模型、训练、推理)
🦙 Integrating LLMs into structured NLP pipelines
ImGui GIZMO widget - 3D object manipulator / orientator
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems
autonomous motorized 📸 camera slider 🤖 to create dynamic timelapse movies with a DSLR. programmable via a smartphone
🤖🎥🇯🇵 ROSConJP 2019 presentation using Dolly and Simslides
Introducing Delta-Buddy: Your ultimate Delta Lake companion! 🚀 Streamline your data journey with an AI-powered chatbot. Ask Delta-Buddy anything about your Delta Lake.
🎥 A GDNative plugin whose provide a composable rig camera
This is a document question answering app made with LangChain and deployed on Streamlit where you can upload a .txt or .docx file, ask questions based on the file and an LLM like Falcon-7B or Dolly-V2-3B answers it. ChromaDB is used as the vector database.
Run Dolly, the world’s first truly open instruction-tuned LLM, with your own prompts on IPUs
Repo for getting setup and using Dolly LLMs fast. Simple looped prompt to interact with Dolly models of varying size.
Dolly is your little friend and a simple tool built in go to facilitate a git repository deploy
How to Deploy Databricks Dolly v2 on Azure Functions
🌝🍈 React project inspired by the legendary Brazilian character Little Dolly
Add a description, image, and links to the dolly topic page so that developers can more easily learn about it.
To associate your repository with the dolly topic, visit your repo's landing page and select "manage topics."