This is the repository holding code and data for "FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply".
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Updated
Jan 12, 2021 - Python
This is the repository holding code and data for "FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply".
[NeurIPS 2022 Workshop] A Case Study with Negated Prompts using T0 (3B, 11B), InstructGPT (350M-175B), GPT-3 (350M - 175B) & OPT (125M - 175B) LMs
[ICLR 2022] Towards Continual Knowledge Learning of Language Models
Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe).
Text sentiment analysis using large language models, served via REST API built with Flask
Let's finetune BLOOM-3B on Pile of Law - r/legal_advice
[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
Language Quantized AutoEncoders
A framework for human-readable prompt-based method with large language models. Specially designed for researchers. (Deprecated, check out LangChain for better usage!)
A Python-based command-line tool that uses the power of artificial intelligence to generate commands and automate common tasks.
[ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Streamlit application to paraphrase showerthoughts from reddit
An open collection of implementation tips, tricks and resources for training large language models
ACL 2023 (Findings) - BertNet: Harvesting Knowledge Graphs from Pretrained Language Models
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.
Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)
A simple cli for the GALACTICA LLM.
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