Virtualization Review

Using Speculative Decoding to Improve Chatbot Performance

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
GitHub

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

This is the repo for the Video-LLaMA project, which is working on empowering large language models with video and audio understanding capabilities. Video-LLaMA is built on top of BLIP-2 and MiniGPT-4.
IEEE

Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks

Abstract: Advanced language models demonstrate remarkable capabilities but remain vulnerable to adversarial word camouflage techniques. These techniques introduce visually perceptible language ...
IEEE

Multimodal Encoder-Decoder Attention Networks for Visual Question Answering

Abstract: Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a ...
Forbes

How Vision Language Models Will Shape The Future Of Self-Driving Cars

As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...
eWeek

Large Language Model: A Guide To The Question ‘What Is An LLM”

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
aibusiness

How Do Large Language Models Work? LLM AI Demystified

Generative AI’s meteoric rise in public awareness has made large language models (LLM), such as ChatGPT, household names. But how do LLMs work? Knowing the answer to this question and understanding ...