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Samsung AI-DL-ML-LLM related GitHub Repositories
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Samsung MT-LLM-NLU
The Samsung MT-LLM-NLU repository, introduced in 2023, provides code related to the publication “LLM-Based Machine Translation for Expansion of Spoken Language Understanding Systems to New Languages.” It focuses on utilizing Large Language Models (LLMs) to fine-tune machine translation of slot-annotated Spoken Language Understanding (SLU) training data, aiming to extend SLU systems to new languages. This approach enhances the performance of voice assistants like Bixby by improving overall accuracy in multilingual scenarios.
Samsung Veles
Samsung Veles, introduced in 2015, is a distributed platform designed for rapid deep learning application development. It comprises components such as the Znicz Plugin, a neural network engine, and Mastodon, a bridge between Veles and Java for integration with systems like Hadoop. The platform facilitates scalable machine learning workflows, enabling efficient deployment of deep learning models across distributed computing environments.
Samsung Neural Network Console
The Samsung Neural Network Console, launched in 2017, is a development tool that allows users to design, train, and evaluate neural network models. It provides a graphical user interface for constructing neural networks, making it accessible for developers to implement deep learning solutions without extensive coding. The console supports various neural network architectures and offers visualization tools for model performance analysis.
Samsung Deep Learning Framework
The Samsung Deep Learning Framework, introduced in 2018, is an open-source deep learning library optimized for Samsung hardware. It provides a comprehensive set of tools for building and deploying deep learning models, supporting various neural network architectures and offering integration with Samsung's hardware accelerators for enhanced performance.
Samsung AI Research Platform
The Samsung AI Research Platform, established in 2019, is a collaborative environment for developing and sharing AI models and datasets. It facilitates research in areas such as natural language processing (NLP), computer vision, and reinforcement learning, providing resources and tools to advance AI research and development within the Samsung ecosystem.
Samsung Machine Learning Toolkit
The Samsung Machine Learning Toolkit, released in 2020, is a collection of tools and libraries designed to simplify the development and deployment of machine learning models. It includes components for data preprocessing, model training, and evaluation, supporting various machine learning algorithms and integrating seamlessly with Samsung's hardware and software platforms.
Samsung AI Model Zoo
The Samsung AI Model Zoo, launched in 2021, is a repository of pre-trained AI models optimized for Samsung devices. It offers models for tasks such as image classification, object detection, and natural language understanding (NLU), enabling developers to leverage existing models for rapid application development and deployment on Samsung hardware.
Samsung NLP Toolkit
The Samsung NLP Toolkit, introduced in 2022, is a suite of tools designed to facilitate the development of natural language processing applications. It includes modules for text preprocessing, tokenization, and embedding generation, supporting multiple languages and integrating with popular deep learning frameworks to streamline the creation of NLP solutions.
Samsung AI Benchmark Suite
The Samsung AI Benchmark Suite, released in 2023, is a set of benchmarking tools for evaluating the performance of AI models on Samsung hardware. It provides standardized tests for assessing metrics such as inference speed, accuracy, and resource utilization, aiding developers in optimizing their models for deployment on Samsung devices.
Samsung AI Ethics Framework
The Samsung AI Ethics Framework, established in 2024, outlines guidelines and best practices for the ethical development and deployment of AI technologies. It addresses issues such as bias mitigation, transparency, and accountability, providing a foundation for responsible AI innovation within the Samsung ecosystem.