Marktechpost

OCTOBER 20, 2024

They also present the EquiformerV2 model, a state-of-the-art Graph Neural Network (GNN) trained on the OMat24 dataset, achieving leading results on the Matbench Discovery leaderboard. Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Neural Network 113

Neural Network Inference Engine AI AI 113

Marktechpost

OCTOBER 21, 2024

Existing methods to address the challenges in AI-powered chess and decision-making systems include neural networks for chess, diffusion models, and world models. In chess AI, the field has evolved from handcrafted search algorithms and heuristics to neural network-based approaches.

Neural Network 104

Neural Network Inference Engine Large Language Models Algorithm 104

Marktechpost

OCTOBER 23, 2024

Shallow neural networks are used to map these relationships, so they fail to capture their depth. Don’t Forget to join our 55k+ ML SubReddit. Words are treated as isolated entities without considering their nested relationships. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

NLP 113

NLP Neural Network Natural Language Processing Inference Engine 113

Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

Data Science 52

Data Science Machine Learning ML Python 52

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. Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. a Game-Changer?

Neural Network 104

Neural Network Inference Engine NLP ML 104

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. Don’t Forget to join our 50k+ ML SubReddit. HNNs are particularly effective for systems where energy conservation holds but struggle with systems that violate this principle.

Deep Learning 104

Deep Learning Neural Network Robotics Inference Engine 104

Marktechpost

OCTOBER 22, 2024

When a model receives an input, it processes it through multiple layers of neural networks, where each layer adjusts the model’s understanding of the task. Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 113

Large Language Models Neural Network Inference Engine AI 113

Marktechpost

OCTOBER 14, 2024

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). Don’t Forget to join our 50k+ ML SubReddit. Unfortunately, as MI attacks have become advanced, there hasn’t been a complete and reliable way to test and compare these attacks, making it difficult to evaluate the security of the model.

Categorization 104

Categorization Neural Network Inference Engine Deep Learning 104

Towards AI

JULY 19, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. The company is Neural Magic. DeepSparse: a CPU inference engine for sparse models. and share with friends! Follow their code on GitHub.

NLP 98

NLP Neural Network Natural Language Processing BERT 98

Marktechpost

OCTOBER 21, 2024

Artificial intelligence (AI) and machine learning (ML) revolve around building models capable of learning from data to perform tasks like language processing, image recognition, and making predictions. A significant aspect of AI research focuses on neural networks, particularly transformers.

Machine Learning 62

Machine Learning Neural Network Natural Language Processing Inference Engine 62

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. 2] Android.

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Inference Engine 98

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 67

Machine Learning Neural Network Deep Learning Inference Engine 67

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.

Explainability 57

Explainability Explainable AI Python Neural Network 57

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. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 62

Large Language Models Neural Network Inference Engine LLM 62

Towards AI

JULY 21, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. The company is Neural Magic. DeepSparse: a CPU inference engine for sparse models. and share with friends! Follow their code on GitHub.

NLP 52

NLP Neural Network Natural Language Processing BERT 52

Mlearning.ai

JUNE 2, 2023

Tim Davis He helped build, found and scale large parts of Google’s AI infrastructure at Google Brain and Core Systems from APIs ( TensorFlow ), Compilers ( XLA & MLIR ) and runtimes for server ( CPU/GPU/TPU ) and TF Lite ( Mobile/Micro/Web ), Android ML & NNAPI , large model infrastructure & OSS for billions of users and devices.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

deepsense.ai

APRIL 25, 2024

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. While we haven’t tested it as an inference engine, it could interest those looking to utilize Gemma models.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Inference Engine LLM 52

Bugra Akyildiz

SEPTEMBER 8, 2024

Model Explorer distinguishes itself from other visualization tools: TensorBoard : While TensorBoard offers a broader suite of functionalities for ML experimentation, Model Explorer excels at handling very large models and provides a more intuitive hierarchical structure. For additional information about Gemma, see ai.google.dev/gemma.

LLM 52

LLM Large Language Models Neural Network Machine Learning 52

Mlearning.ai

JULY 9, 2023

Creating a new Space on HuggingFace A “Space” on HuggingFace is a hosting environment that can be used to host your ML app. 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).

Large Language Models 52

Large Language Models LLM Python Auto-complete 52

Marktechpost

OCTOBER 28, 2024

Deep neural networks, typically fine-tuned foundational models, are widely used in sectors like healthcare, finance, and criminal justice, where biased predictions can have serious societal impacts. Don’t Forget to join our 55k+ ML SubReddit. Datasets and pre-trained models come with intrinsic biases.

Neural Network 113

Neural Network Inference Engine Machine Learning Automation 113

Marktechpost

OCTOBER 28, 2024

The OCM methodology offers a streamlined approach to estimating covariance by training a neural network to predict the diagonal Hessian, which allows for accurate covariance approximation with minimal computational demands. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

Neural Network 103

Neural Network Inference Engine AI AI 103