Unite.AI

JANUARY 17, 2024

In this article, we will discuss PowerInfer, a high-speed LLM inference engine designed for standard computers powered by a single consumer-grade GPU. The PowerInfer framework seeks to utilize the high locality inherent in LLM inference, characterized by a power-law distribution in neuron activations.

Large Language Models 130

Large Language Models Inference Engine LLM Natural Language Processing 130

Marktechpost

OCTOBER 14, 2024

Although to defend against MI attacks, most existing methods can be categorized into two types: model output processing and robust model training. Based on the accessibility to the target model’s parameters, researchers categorized MI attacks into white-box and black-box attacks. If you like our work, you will love our newsletter.

Categorization 104

Categorization Neural Network Inference Engine Deep Learning 104

Marktechpost

OCTOBER 25, 2024

Instead of general relevance scores, the researchers propose decomposing a question into specific sub-questions, categorized as core, background, or follow-up. The Georgia Institute of Technology and Salesforce AI Research researchers introduce a new framework for evaluating RAG systems based on a metric called “sub-question coverage.”

AI Research 109

AI Research AI Researcher Categorization Inference Engine 109

Marktechpost

OCTOBER 17, 2024

Classifier-1 only transmits authentic requests to Classifier-2, categorizing them as low, medium, or high priority. The research team then trains a binary classifier, classifier-1, using the enhanced dataset to detect valid samples while filtering out malicious material. If you like our work, you will love our newsletter.

Machine Learning 108

Machine Learning Inference Engine Categorization AI 108

Marktechpost

NOVEMBER 24, 2024

Also, the system incorporates a co-designed grammar and inference engine, enabling it to overlap grammar computations with GPU-based LLM operations, thereby minimizing overhead. This separation significantly reduces the computational burden during output generation. XGrammar’s technical implementation includes several key innovations.

Categorization 87

Categorization Large Language Models Inference Engine LLM 87

Marktechpost

OCTOBER 15, 2024

Additionally, a metric can be categorized into three types: ground_truth, downstream_evaluation, or heuristic. Metrics summarize the performance and reliability of a TDA method in a compact form.Quanda’s stateful Metric design includes an update method for accounting for new test batches. Don’t Forget to join our 50k+ ML SubReddit.

Explainability 57

Explainability Explainable AI Python Neural Network 57

Viso.ai

MAY 24, 2024

It uses formal languages, like first-order logic, to represent knowledge and an inference engine to draw logical conclusions based on user queries. Neuro-symbolic AI approaches can be broadly categorized into two main types: Compressing structured symbolic knowledge into a format that can be integrated with neural network patterns.

Neural Network 52

Neural Network Robotics Automation Explainability 52