Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 24
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Updated
May 25, 2024 - Python
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 24
Large Language Model-enhanced Recommender System Papers
[Paper][Preprint 2024] Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Original Implementation of Prompt Tuning from Lester, et al, 2021
MindSpore online courses: Step into LLM
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Promptdesk is a tool designed for effectively creating, organizing, and evaluating prompts and large language models (LLMs).
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
A full-featured & carefully designed adaptive prompt for Bash & Zsh
Create the prompts you need to write your Novel using AI
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Promptr is a CLI tool that lets you use plain English to instruct GPT3 or GPT4 to make changes to your codebase.
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Fast ChatGPT UI with support for both OpenAI and Azure OpenAI. 快速的ChatGPT UI,支持OpenAI和Azure OpenAI。
This repository is an AI Bootcamp material that consist of a workflow for LLM
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
UI for testing prompts across various datasets locally
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