ASSISTANTS
BLOCKS
BUNDLES
Blocks are reusable components that define specific behaviors and capabilities for AI assistants, from custom instructions to advanced model configurations
The following blocks were recently created by the Continue community
NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It complements training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses on running an already-trained network quickly and efficiently on NVIDIA hardware.
PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI.
MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.
ONNX can be compared to a programming language specialized in mathematical functions. It defines all the necessary operations a machine learning model needs to implement its inference function with this language.
Polars is a blazingly fast DataFrame library for manipulating structured data. The core is written in Rust, and available for Python, R and NodeJS.
Rules for use with the Phoenix library and the typical libraries used with it. Does not contain rules in regards to the Ash Framework.
Phoenix JS Client Docs
Phoenix.LiveView Docs
Docs for the Phoenix Framework
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing
生成注释
A new abstract half-baked language
A meta-artificial intelligence infusion
xAI's previous frontier language model with state-of-the-art reasoning capabilities
Official GraphQL Documentation