datadreamer-dev / DataDreamerLinks
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. β π€π€
β1,088Updated 11 months ago
Alternatives and similar repositories for DataDreamer
Users that are interested in DataDreamer are comparing it to the libraries listed below
Sorting:
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.β819Updated 6 months ago
- Evaluate your LLM's response with Prometheus and GPT4 π―β1,029Updated 8 months ago
- Automatically evaluate your LLMs in Google Colabβ682Updated last year
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifiβ¦β3,039Updated 3 weeks ago
- Stanford NLP Python library for Representation Finetuning (ReFT)β1,552Updated this week
- Easily embed, cluster and semantically label text datasetsβ589Updated last year
- Best practices for distilling large language models.β599Updated last year
- β557Updated last year
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.β1,587Updated 3 weeks ago
- LLM Analyticsβ704Updated last year
- Train Models Contrastively in Pytorchβ771Updated 9 months ago
- Generative Representational Instruction Tuningβ681Updated 6 months ago
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAIβ1,406Updated last year
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.β500Updated last year
- awesome synthetic (text) datasetsβ321Updated last week
- Synthetic data curation for post-training and structured data extractionβ1,594Updated last week
- Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"β473Updated last year
- Automated Evaluation of RAG Systemsβ683Updated 9 months ago
- Fast Semantic Text Deduplication & Filteringβ866Updated this week
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuningβ665Updated last year
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backendsβ2,251Updated this week
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.β2,829Updated this week
- Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"β1,437Updated 10 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retrainingβ737Updated last year
- Generate textbook-quality synthetic LLM pretraining dataβ509Updated 2 years ago
- β1,032Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diveβ¦β972Updated last year
- Data and tools for generating and inspecting OLMo pre-training data.β1,392Updated 2 months ago
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.β446Updated last year
- An Open Source Toolkit For LLM Distillationβ823Updated 3 weeks ago