keirp / automatic_prompt_engineerLinks
☆1,331Updated last year
Alternatives and similar repositories for automatic_prompt_engineer
Users that are interested in automatic_prompt_engineer are comparing it to the libraries listed below
Sorting:
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆763Updated last year
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,585Updated 6 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆973Updated last year
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,987Updated last year
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,762Updated last year
- Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".☆1,140Updated 2 years ago
- A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research …☆1,007Updated last year
- Code for our ACL 2023 Paper "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models".☆711Updated 2 years ago
- Toolkit for creating, sharing and using natural language prompts.☆2,984Updated 2 years ago
- FacTool: Factuality Detection in Generative AI☆903Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆991Updated 7 months ago
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆3,017Updated last month
- ☆1,053Updated 2 years ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,808Updated 6 months ago
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆790Updated last year
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,095Updated 2 years ago
- ☆922Updated last year
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆662Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated 2 years ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,925Updated 4 months ago
- [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning☆3,001Updated 11 months ago
- Aligning Large Language Models with Human: A Survey☆740Updated 2 years ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,136Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,272Updated last year
- ☆1,557Updated last week
- PaL: Program-Aided Language Models (ICML 2023)☆518Updated 2 years ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,220Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆538Updated last year
- ☆769Updated last year
- [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings☆2,021Updated 11 months ago