Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Instruct-tune LLaMA on consumer hardware.
Code and documentation to train Stanford's Alpaca models, and generate the data.
An open source Python library focused on outlier, adversarial and drift detection.
Open-source Python library enabling ML model inspection and interpretation.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Easy way to turn any app into searchable data for LLMs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A comprehensive set of fairness metrics for datasets and machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An Artificial Intelligence Automation Platform.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A framework for performing reproducible AI and ML for Weights and Biases.
Open-source implementation of Google Vizier for hyper parameters tuning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.