Marktechpost

OCTOBER 14, 2024

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). Additionally, setting up access controls and limiting how often each user can access the data is important for building responsible AI systems, and reducing potential conflicts with people’s private data. Check out the Paper.

Categorization 100

Categorization Neural Network Inference Engine AI 100

Marktechpost

OCTOBER 21, 2024

The proposed methodology is rooted in the concept of Walk-Jump Sampling, where noise is added to clean data, followed by training a neural network to denoise it, thereby allowing a smooth sampling process. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network 90

Neural Network Inference Engine Machine Learning ML 90

Marktechpost

OCTOBER 17, 2024

Static Embeddings are bags of token embeddings that are summed together to create text embeddings, allowing for lightning-fast embeddings without requiring neural networks. [link] Introduction of Static Embeddings Another major feature is Static Embeddings, a modernized version of traditional word embeddings like GLoVe and word2vec.

Neural Network 104

Neural Network Inference Engine NLP ML 104

Marktechpost

OCTOBER 16, 2024

More sophisticated machine learning approaches, such as artificial neural networks (ANNs), may detect complex relationships in data. Furthermore, deep learning techniques like convolutional networks (CNNs) and long short-term memory (LSTM) models are commonly employed due to their ability to analyze temporal and meteorological data.

Machine Learning 62

Machine Learning Neural Network Deep Learning Inference Engine 62

Marktechpost

OCTOBER 18, 2024

Weight averaging, originating from Utans’ work in 1996, has been widely applied in deep neural networks for combining checkpoints, utilizing task-specific information, and parallel training of LLMs. Researchers have explored various approaches to address the challenges of model merging and multitask learning in LLMs.

Large Language Models 62

Large Language Models Neural Network Inference Engine LLM 62

Viso.ai

MAY 24, 2024

Although still under research and development, these models can be a transformative force in the Artificial Intelligence (AI) world. Get ready for a journey in Large Action Models, where AI is not just talking, but taking action. This technique combines learning capabilities and logical reasoning from neural networks and symbolic AI.

Neural Network 52

Neural Network Robotics Automation Explainability 52

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. Keras : Keras is a high-level neural network library that makes it easy to develop and deploy deep learning models. How Do I Use These Libraries?

Data Science 52

Data Science Machine Learning ML Python 52

Mlearning.ai

MAY 16, 2023

Deployment of deep neural network on mobile phone. (a) Introduction As more and more deep neural networks, like CNNs, Transformers, and Large Language Models (LLMs), generative models, etc., to boost the usages of the deep neural networks in our lives. Local AI Solutions Mlearning.ai 2] Android.

Neural Network 98

Neural Network Convolutional Neural Networks Inference Engine Deep Learning 98

Unite.AI

JULY 18, 2024

AI hardware is growing quickly, with processing units like CPUs, GPUs, TPUs, and NPUs, each designed for specific computing needs. This variety fuels innovation but also brings challenges when deploying AI across different systems. As AI processing units become more varied, finding effective deployment strategies is crucial.

Neural Network 162

Neural Network AI Modeling AI AI 162

Marktechpost

OCTOBER 21, 2024

Large Language Models (LLMs) have gained significant attention in AI research due to their impressive capabilities. Existing methods to address the challenges in AI-powered chess and decision-making systems include neural networks for chess, diffusion models, and world models. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network 57

Neural Network Inference Engine Large Language Models AI 57

Marktechpost

OCTOBER 15, 2024

XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision-making processes of neural networks, which are well-known black boxes. Today, we talk about TDA, which aims to relate a model’s inference from a specific sample to its training data.

Explainable AI 57

Explainable AI Explainability Python Neural Network 57

Marktechpost

OCTOBER 19, 2024

Inaccurate predictions in these cases can have real-world consequences, such as in engineering designs or scientific simulations where precision is critical. HNNs are particularly effective for systems where energy conservation holds but struggle with systems that violate this principle. If you like our work, you will love our newsletter.

Deep Learning 99

Deep Learning Neural Network Robotics Inference Engine 99

Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Mlearning.ai

JULY 9, 2023

LLM from a CPU-Optimized (GGML) format: LLaMA.cpp is a C++ library that provides a high-performance inference engine for large language models (LLMs). It is based on the GGML (Graph Neural Network Machine Learning) library, which provides a fast and efficient way to represent and process graphs.

Large Language Models 52

Large Language Models LLM Python Auto-complete 52

Bugra Akyildiz

SEPTEMBER 22, 2024

Skip connections: These are used to facilitate gradient flow in deep SSM architectures, similar to their use in other deep neural networks. Support AI, Search, and other product use cases requiring denormalized data and they made the following key design decisions: Using S3 as the data repository and lake.

Neural Network 59

Neural Network LLM Large Language Models Data Ingestion 59

deepsense.ai

APRIL 25, 2024

In today’s rapidly evolving generative AI world, keeping pace requires more than embracing cutting-edge technology. Tech Stack Tech Stack Below, we provide a quick overview of the project, divided into research and inference sites. Methods and Tools Let’s start with the inference engine for the Small Language Model.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Inference Engine LLM 52

Mlearning.ai

JUNE 2, 2023

Revolutionising the nature of AI programmability, usability, scalability & compute! In the first part of this blog, we are going to explore how Modular came into existence, who are it’s founding members, and what they have to offer to the AI community. Designed by Canva Have you guys ever heard of Modular?

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. 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. The Vision of St.

NLP 77

NLP Neural Network Natural Language Processing BERT 77

Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. 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. The Vision of St.

NLP 52

NLP Neural Network Natural Language Processing BERT 52