Data & datasets for advanced learners

45 resources · page 2 of 2

• Ai2 model cards and datasets

  by Ai2

  Ai2's Hugging Face organisation page listing its model checkpoints, model cards and datasets, including OLMo.

  Advanced learning_resource docs US en

• Alibi Detect

  by Seldon

  Alibi Detect documentation: Python library for outlier, adversarial and data-drift detection in ML systems.

  Advanced learning_resource docs UK/global en

• Cleanlab documentation

  by Cleanlab

  Cleanlab documentation: open-source library for finding label errors and data issues in ML datasets.

  Advanced learning_resource docs US en

• Datasheets for Datasets

  by Timnit Gebru et al. (Microsoft Research)

  Microsoft Research page for Datasheets for Datasets, proposing standard documentation for ML datasets.

  Advanced learning_resource paper United States / international collaboration en

• LanceDB documentation

  by LanceDB

  LanceDB documentation: multimodal lakehouse and vector database for AI data, with versioned tables and retrieval.

  Advanced learning_resource docs US en

• LLM-jp corpora (GitLab)

  by LLM-jp (National Institute of Informatics)

  LLM-jp datasets on the NII GitLab: open Japanese pretraining corpora.

  Advanced learning_resource docs Japan ja

• NeurIPS paper checklist

  by NeurIPS Foundation

  NeurIPS paper checklist covering assumptions, limitations, experimental details, reproducibility and broader impacts.

  Advanced learning_resource guide Global en

• Qdrant documentation

  by Qdrant

  Qdrant documentation: vector search engine with quickstarts, filtering, hybrid search and deployment guides.

  Advanced learning_resource docs Germany en

• Retrieval-Augmented Generation

  by Patrick Lewis et al. (Facebook AI Research)

  arXiv paper (2020) "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks", introducing retrieval-augmented generation (RAG).

  Advanced learning_resource paper US; UK en

• RL environments for LLM agents: Design, rewards, and validation (Snorkel)

  by Snorkel AI

  Snorkel AI post on designing RL environments for LLM agents: state, actions, rewards and validation.

  Advanced learning_resource blog US en

• Partial Credit in RL: When It Opposes Completion (Snorkel)

  by Snorkel AI

  Snorkel AI post on how partial-credit rewards in reinforcement learning can work against task completion.

  Advanced learning_resource blog US en

• Training Compute-Optimal Large Language Models

  by Jordan Hoffmann et al. (DeepMind)

  arXiv paper (2022) "Training Compute-Optimal Large Language Models", describing Chinchilla and compute-optimal model size versus training tokens.

  Advanced learning_resource paper UK en

• Weaviate documentation

  by Weaviate

  Weaviate documentation: open-source vector database with guides on indexing, search and RAG pipelines.

  Advanced learning_resource docs Netherlands en

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