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Intel Analytics Software
Analytics and AI Transforming Big Data into Business Insights
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Intel Neural Compressor
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Quantization on Intel Gaudi Series AI Accelerators
Quantization on Intel Gaudi Series AI Accelerators
Intel Neural Compressor v3.0 Supports Quantization across Intel Hardware
Intel(R) Neural Compressor
Aug 15
Clustering Time Series with PCA and DBSCAN
Clustering Time Series with PCA and DBSCAN
Accelerating These Algorithms Using Intel Extension for Scikit-learn
Bob Chesebrough
Jun 29
Implementing a Transformer-Based Time Series Predictor
Implementing a Transformer-Based Time Series Predictor
Easy Time Series Analysis Using Intel Tiber Developer Cloud
Bob Chesebrough
Jun 25
Accelerating Qwen2 Models with Intel Extension for Transformers
Accelerating Qwen2 Models with Intel Extension for Transformers
High Performance WOQ INT4 Inference on Intel Xeon Processors
Intel(R) Neural Compressor
Jun 6
Accelerating GGUF Models with Transformers
Accelerating GGUF Models with Transformers
Improving Performance and Memory Usage on Intel Platforms
Intel(R) Neural Compressor
May 30
Low-Bit Quantized Open LLM Leaderboard
Low-Bit Quantized Open LLM Leaderboard
A New Tool to Find High-Quality Models for a Given Client
Intel(R) Neural Compressor
May 10
Enterprise AI Art Exhibition at Vision 2024
Enterprise AI Art Exhibition at Vision 2024
Real-Time Fine-Tuning on Stable Diffusion with the Intel Gaudi AI Accelerator
Preethi Venkatesh
May 9
The AutoRound Quantization Algorithm
The AutoRound Quantization Algorithm
Weight-Only Quantization for LLMs Across Hardware Platforms
Intel(R) Neural Compressor
Apr 2
Setting Up Cloud-Based Distributed Training to Fine-Tune an LLM
Setting Up Cloud-Based Distributed Training to Fine-Tune an LLM
Fine-Tuning the nanoGPT Model for Language Tasks
Benjamin Consolvo
Mar 29
Using Monocular Depth Estimation to Mask an Image
Using Monocular Depth Estimation to Mask an Image
Or, How I Selected a Dinosaur and Isolated It Out of a Flat Image
Bob Chesebrough
Mar 27
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