argilla-io / argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
☆4,325Updated this week
Alternatives and similar repositories for argilla:
Users that are interested in argilla are comparing it to the libraries listed below
- Efficient few-shot learning with Sentence Transformers☆2,349Updated last month
- 🤗 AutoTrain Advanced☆4,264Updated 3 weeks ago
- ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)☆3,247Updated 3 months ago
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,413Updated this week
- AI Observability & Evaluation☆4,754Updated this week
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,431Updated last week
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,266Updated last week
- Adding guardrails to large language models.☆4,518Updated last week
- Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!☆5,607Updated this week
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,358Updated last week
- 🦙 Integrating LLMs into structured NLP pipelines☆1,190Updated last month
- Fast, Accurate, Lightweight Python library to make State of the Art Embedding☆1,782Updated this week
- Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chro…☆2,790Updated 6 months ago
- Structured Text Generation☆10,730Updated this week
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,230Updated last week
- AdalFlow: The library to build & auto-optimize LLM applications.☆2,736Updated this week
- Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.☆2,843Updated this week
- A language for constraint-guided and efficient LLM programming.☆3,823Updated 8 months ago
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆7,386Updated this week
- Top2Vec learns jointly embedded topic, document and word vectors.☆2,991Updated 3 months ago
- The LLM Evaluation Framework☆4,875Updated this week
- DSPy: The framework for programming—not prompting—language models☆21,930Updated this week
- Evaluation and Tracking for LLM Experiments☆2,322Updated this week
- Efficient Retrieval Augmentation and Generation Framework☆1,454Updated last month
- [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings☆1,915Updated last month
- Collections of vector search related libraries, service and research papers☆1,456Updated 6 months ago
- Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024☆1,787Updated last week
- Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.☆10,151Updated this week
- Harness LLMs with Multi-Agent Programming☆3,066Updated this week
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆1,706Updated 2 weeks ago