Knowledge Graph Generation - ChatGPT Cheat Sheet
convert this text into nodes and edges: Babe Ruth joined the New York Yankees in 1920. The Boston Red Sox sold his contract to the Yankees. He played for the Yankees from 1920 to 1934, and during that time he established himself as one of the greatest players in baseball history.
convert this text into nodes and edges: Babe Ruth joined the New York Yankees in 1920. The Boston Red Sox sold his contract to the Yankees. He played for the Yankees from 1920 to 1934, and during that time he established himself as one of the greatest players in baseball history.
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Headings and Subheadings - ChatGPT Cheat Sheet
convert this text into headings and subheadings: Babe Ruth joined the New York Yankees in 1920. The Boston Red Sox sold his contract to the Yankees. He played for the Yankees from 1920 to 1934, and during that time he established himself as one of the greatest players in baseball history.
convert this text into headings and subheadings: Babe Ruth joined the New York Yankees in 1920. The Boston Red Sox sold his contract to the Yankees. He played for the Yankees from 1920 to 1934, and during that time he established himself as one of the greatest players in baseball history.
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Correct ChatGPT on Its Knowledge (just for remainder of the current session) - ChatGPT Cheat Sheet
what is deepsparse
this is deepsparse: DeepSparse
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
Documentation Slack Support Main GitHub release Contributor Covenant YouTube Medium Twitter
A CPU runtime that takes advantage of sparsity within neural networks to reduce compute.
Read more about sparsification.
Neural Magic's DeepSparse is able to integrate into popular deep learning libraries (e.g.
Hugging Face, Ultralytics) allowing you to leverage DeepSparse for loading and deploying sparse models with ONNX. ONNX gives the flexibility to serve your model in a framework-agnostic environment. Support includes PyTorch, TensorFlow, Keras, and many other trameworks.
what is deepsparse
this is deepsparse: DeepSparse
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
Documentation Slack Support Main GitHub release Contributor Covenant YouTube Medium Twitter
A CPU runtime that takes advantage of sparsity within neural networks to reduce compute.
Read more about sparsification.
Neural Magic's DeepSparse is able to integrate into popular deep learning libraries (e.g.
Hugging Face, Ultralytics) allowing you to leverage DeepSparse for loading and deploying sparse models with ONNX. ONNX gives the flexibility to serve your model in a framework-agnostic environment. Support includes PyTorch, TensorFlow, Keras, and many other trameworks.
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