microsoft / classy-fireLinks
Classy-fire is multiclass text classification approach leveraging OpenAI LLM model APIs optimally using clever parameter tuning and prompting.
β80Updated 2 years ago
Alternatives and similar repositories for classy-fire
Users that are interested in classy-fire are comparing it to the libraries listed below
Sorting:
- π Datasets and models for instruction-tuningβ238Updated 2 years ago
- AuditNLG: Auditing Generative AI Language Modeling for Trustworthinessβ101Updated 10 months ago
- Completion After Prompt Probability. Make your LLM make a choiceβ82Updated last year
- Official repo for NAACL 2024 Findings paper "LeTI: Learning to Generate from Textual Interactions."β66Updated 2 years ago
- Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkIβ95Updated 2 years ago
- Evaluating tool-augmented LLMs in conversation settingsβ88Updated last year
- Datasets collection and preprocessings framework for NLP extreme multitask learningβ189Updated 5 months ago
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.β156Updated 2 years ago
- This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"β205Updated 11 months ago
- Retrieval Augmented Generation Generalized Evaluation Datasetβ58Updated 4 months ago
- TART: A plug-and-play Transformer module for task-agnostic reasoningβ201Updated 2 years ago
- Mixing Language Models with Self-Verification and Meta-Verificationβ110Updated last year
- A set of utilities for running few-shot prompting experiments on large-language modelsβ126Updated 2 years ago
- We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language promptsβ¦β95Updated last year
- β95Updated 11 months ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answersβ135Updated last year
- We believe the ability of an LLM to attribute the text that it generates is likely to be crucial for both system developers and users in β¦β54Updated 2 years ago
- β180Updated 2 years ago
- Model, Code & Data for the EMNLP'23 paper "Making Large Language Models Better Data Creators"β137Updated 2 years ago
- β159Updated last year
- β64Updated last year
- Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platformβ91Updated 3 months ago
- A dataset featuring diverse dialogues between two ChatGPT (gpt-3.5-turbo) instances with system messages written by GPT-4. Covering varioβ¦β164Updated 2 years ago
- π§ Compare how Agent systems perform on several benchmarks. ππβ102Updated 4 months ago
- Inquisitive Parrots for Searchβ198Updated 6 months ago
- Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domainβ¦β52Updated 2 years ago
- β48Updated last year
- Reward Model framework for LLM RLHFβ61Updated 2 years ago
- Self-verification for LLMs.β67Updated 2 years ago
- Lightweight demos for finetuning LLMs. Powered by π€ transformers and open-source datasets.β78Updated last year