Algorithm and Inference Engine - Artificial Intelligence Zone

C++ feat. Python: Connect, Embed, Install with Ease

Towards AI

AUGUST 29, 2023

Frequently, Python code invokes C++ methods for intricate algorithmic calculations. However, I encountered an opposite scenario where my Machine Learning application urgently required invoking a custom model with Python-based inference code. My initial thought was simple: “Calling Python from C++ should be a breeze.”

Python

Python Inference Engine Machine Learning AI Tools

CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Marktechpost

JUNE 8, 2023

The regular expression, LLM decision rules, and the traversal algorithm are all stored in the Query Object. A regular expression inference engine that effectively converts regular expressions to finite automata has been designed and implemented. They are the first group to use automata to accommodate these variant encodings.

Large Language Models

Large Language Models LLM Inference Engine AI

ODSC’s AI Weekly Recap: Week of March 8th

ODSC - Open Data Science

MARCH 8, 2024

gemma.cpp is a lightweight, standalone C++ inference engine for the Gemma foundation models from Google. Massachusetts-based Overjet , an AI-powered dental technology company that provides algorithms to analyze dental images and deliver diagnoses raised over $130M from private investors. raised $600M from private investors.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Large Language Models AI

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This AI Paper from Google Presents a Set of Optimizations that Collectively Attain Groundbreaking Latency Figures for Executing Large Diffusion Models on Various Devices

Marktechpost

JUNE 19, 2023

FlashAttention, on the other hand, is a precise attention algorithm that considers hardware configurations to achieve better performance. Reformer uses a sparse approximation to reduce computing cost, while other works use low-rank or a combination of approximation techniques.

Inference Engine

Inference Engine AI Tools ML AI

7 Powerful Python ML Libraries For Data Science And Machine Learning.

Mlearning.ai

JANUARY 28, 2023

TensorFlow: TensorFlow is an open source library for building neural networks and other deep learning algorithms on top of GPUs. It offers various data type conversions and aggregations as well as powerful plotting capabilities.

Data Science

Data Science Machine Learning ML Python

Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

Mlearning.ai

MAY 16, 2023

. * @return the predicted class */ std::string Inference(cv::Mat& src, AAssetManager* mgr); #endif //IMAGECLASSIFICATION_INFERENCE_H /** * inference.cpp */ #include <algorithm> #include <vector> #include <string> #include <opencv2/imgproc.hpp> #include "net.h" f, 0.4822f*255.f,

Neural Network

Neural Network Convolutional Neural Networks Inference Engine Deep Learning

The Story of Modular

Mlearning.ai

JUNE 2, 2023

In order to tackle this, the team at Modular developed a modular inference engine. Designed by Canva Have you guys ever heard of Modular? This highly complex and fragmented ecosystem is hampering the AI innovation, and is pulling back the AI community, as a whole. Read more about it here.

Inference Engine

Inference Engine Python Machine Learning Neural Network

Underwater Trash Detection using Opensource Monk Toolkit

Towards AI

JULY 19, 2023

Once the model is trained we test the model on sample images or videos Inference Running inference using Monk is even simpler ★ Step-1 — Import and initiate the Inference Engine ★ Step-2 — Load the trained Model ★ Step-3— Run inference on image The final output can be displayed in the jupyter notebook in this manner!!

Robotics

Robotics Computer Vision Deep Learning Inference Engine

Generate a counterfactual analysis of corn response to nitrogen with Amazon SageMaker JumpStart solutions

AWS Machine Learning Blog

APRIL 3, 2023

The causal inference engine is deployed with Amazon SageMaker Asynchronous Inference. SageMaker Asynchronous Inference allows queuing incoming requests and processes them asynchronously. In this post, we demonstrate how to create this counterfactual analysis using Amazon SageMaker JumpStart solutions.

Inference Engine

Inference Engine Machine Learning Algorithm Data Scientist

Improved ML model deployment using Amazon SageMaker Inference Recommender

AWS Machine Learning Blog

APRIL 20, 2023

With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Because XGBoost is a memory-intensive algorithm, we provide ml.m5 type instances to get instance type recommendations. large", "ml.m5.xlarge",

ML

ML Auto-classification Python Auto-complete

Host ML models on Amazon SageMaker using Triton: TensorRT models

AWS Machine Learning Blog

MAY 8, 2023

With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Overall, TensorRT’s combination of techniques results in faster inference and lower latency compared to other inference engines.

ML

ML BERT Deep Learning Auto-complete

Speed is all you need: On-device acceleration of large diffusion models via GPU-aware optimizations

Google Research AI blog

JUNE 15, 2023

As discussed in our previous blog post , GPU-accelerated ML inference is often limited by memory performance, and execution of LDMs is no exception. Ultimately, our primary objective is to reduce the overall latency of the ML inference.

Inference Engine

Inference Engine ML Software Engineer Algorithm

The NLP Cypher | 02.14.21

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. DeepSparse: a CPU inference engine for sparse models. Follow their code on GitHub. SparseZoo: a model repo for sparse models.

NLP

NLP Neural Network Natural Language Processing Computer Vision

The NLP Cypher | 02.14.21

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. DeepSparse: a CPU inference engine for sparse models. Follow their code on GitHub. SparseZoo: a model repo for sparse models.

NLP

NLP Neural Network Natural Language Processing Computer Vision

Artificial Intelligence Zone

C++ feat. Python: Connect, Embed, Install with Ease

CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Webinars

Trending Sources

ODSC’s AI Weekly Recap: Week of March 8th

Webinars

This AI Paper from Google Presents a Set of Optimizations that Collectively Attain Groundbreaking Latency Figures for Executing Large Diffusion Models on Various Devices

7 Powerful Python ML Libraries For Data Science And Machine Learning.

Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

The Story of Modular

Underwater Trash Detection using Opensource Monk Toolkit

Generate a counterfactual analysis of corn response to nitrogen with Amazon SageMaker JumpStart solutions

Improved ML model deployment using Amazon SageMaker Inference Recommender

Host ML models on Amazon SageMaker using Triton: TensorRT models

Speed is all you need: On-device acceleration of large diffusion models via GPU-aware optimizations

The NLP Cypher | 02.14.21

The NLP Cypher | 02.14.21

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