EveryIntel – Page 310

IsoBench: An Artificial Intelligence Benchmark Dataset Containing Problems from Four Major Areas: Math, Science, Algorithms, and Games

The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of …

Linear Attention Sequence Parallel (LASP): An Efficient Machine Learning Method Tailored to Linear Attention-Based Language Models

Linear attention-based models are gaining attention for their faster processing speed and comparable performance to Softmax transformers. However, large language …

Meet AnythingLLM: An Open-Source, All-in-One AI Desktop App for Local LLMs + RAG

In today’s business world, the advent of artificial intelligence (AI) has revolutionized the way organizations communicate, particularly in handling and …

Evaluating AI Model Security Using Red Teaming Approach: A Comprehensive Study on LLM and MLLM Robustness Against Jailbreak Attacks and Future Improvements

The emergence of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) represents a significant leap forward in AI …

Researchers at Intel Labs Introduce LLaVA-Gemma: A Compact Vision-Language Model Leveraging the Gemma Large Language Model in Two Variants (Gemma-2B and Gemma-7B)

Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have spurred interest in large multimodal models (LMMs). …

How to Use Google Colab: A Beginner’s Guide

Google Colab, short for Google Colaboratory, is a free cloud service that supports Python programming and machine learning. It’s a …

Researchers at Microsoft AI Propose LLM-ABR: A Machine Learning System that Utilizes LLMs to Design Adaptive Bitrate (ABR) Algorithms

Large Language models (LLMs) have demonstrated exceptional capabilities in generating high-quality text and code. Trained on vast collections of text …