Unite.AI

JULY 18, 2024

This involves tweaking algorithms, fine-tuning models, and using tools and frameworks that support cross-platform compatibility. They are made up of thousands of small cores that can manage multiple tasks simultaneously, excelling at parallel tasks like matrix operations, making them ideal for neural network training.

Neural Network 162

Neural Network AI Modeling AI AI 162

Marktechpost

AUGUST 2, 2024

ML algorithms learn from data to improve over time, while DL uses neural networks to handle large, complex datasets. These systems rely on a domain knowledge base and an inference engine to solve specialized medical problems.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Robotics Deep Learning 120

Marktechpost

OCTOBER 21, 2024

While explicit search methods like Monte Carlo Tree Search (MCTS) have been employed to enhance decision-making in various AI systems, including chess engines and game-playing algorithms, they present challenges when applied to LLMs. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network 102

Neural Network Inference Engine Large Language Models Algorithm 102

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. 1], (d) image by Shiwa ID on Unsplash. f, 0.4822f*255.f,

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Inference Engine 98

Marktechpost

OCTOBER 21, 2024

A significant aspect of AI research focuses on neural networks, particularly transformers. Several tools have been developed to study how neural networks operate. During training, neural networks adjust their weights based on how well they minimize prediction errors (loss).

Machine Learning 60

Machine Learning Neural Network Natural Language Processing Inference Engine 60

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

JUNE 2, 2023

NNAPI   — The Android Neural Networks API (NNAPI) is an Android C API designed for running computationally intensive operations for machine learning on mobile devices and enables hardware-accelerated inference operations on Android devices. In order to tackle this, the team at Modular developed a modular inference engine.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52