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Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple Silicon powers.
Practical principles for building controllable LLM applications around deterministic software.
MCP server for Todoist integration enabling natural language task management with Claude.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.
An Artificial Intelligence Automation Platform.
Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Easy way to turn any app into searchable data for LLMs.
Open-source Python library enabling ML model inspection and interpretation.
An open source Python library focused on outlier, adversarial and drift detection.
Instruct-tune LLaMA on consumer hardware.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.