LLM as a Robotic Brain: Cloud-Driven Robot Action Sequences Generated by Large Language Models
探索大型语言模型与边缘云协作在机器人领域的应用，介绍RoboPilot项目如何实现灵活部署和执行真实世界机器人，推进云原生机器人研究。
The ALPACA Code: Self-Instruct Fine-Tuning of Large Language Models
Dive into the technical implementation of self-instruct fine-tuning for Large Language Models using ALPACA, covering synthetic dataset generation and parallel task optimization.
Experimenting with Alpaca & LLaMA
Explore Alpaca and LLaMA models in real-time, gaining hands-on experience with cutting-edge language AI technologies and their practical applications.
Alpaca & LLaMA - Can it Compete with ChatGPT?
Explore Stanford Alpaca's capabilities, learn inference techniques, and compare its performance to ChatGPT in this step-by-step tutorial on setting up and optimizing the model.
Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset
Learn to fine-tune Llama 7B with Alpaca LoRa on a custom bitcoin sentiment dataset. Covers data preprocessing, model training, and performance analysis for sentiment detection in cryptocurrency tweets.
LangChain Models- ChatGPT, Flan Alpaca, OpenAI Embeddings, Prompt Templates & Streaming
Explore LangChain's capabilities with chat models, embeddings, and prompt templates. Learn to enhance responses and stream output for efficient language model integration.