Oxford University allows AI for its Economics and Management course

Research focuses on improving 3D medical image segmentation by addressing limitations of traditional CNNs and transformer-based methods. It introduces SegMamba, a novel model combining U-shape structure with Mamba to efficiently model whole-volume global features at multiple…

Introduction to AI Framework for Inference Budget Estimation This document presents a machine learning framework designed to estimate the inference budget for Self-Consistency and Generative Reward Models (GenRMs). Large Language Models (LLMs) have made remarkable strides…

Fine-Tuning Large Language Models Made Easy with XTuner Fine-tuning large language models (LLMs) efficiently and effectively is a common challenge. Imagine you have a massive LLM that needs adjustments or training for specific tasks, but the…

The UK’s Information Commissioner’s Office (ICO) is investigating Snapchat’s AI chatbot, “My AI,” for potential privacy risks to its younger users. The ICO expressed concerns about Snapchat overlooking the privacy dangers the chatbot may pose to…

Large multimodal models like LLaVA, MiniGPT4, mPLUG-Owl, and Qwen-VL have made rapid progress in handling and analyzing various types of data. However, there are obstacles to overcome, such as dealing with complex scenarios and the need…

Practical Solutions for Evaluating AI Agents Importance of Cost-Effective Evaluation Recent development in AI agents has highlighted the need to move beyond focusing solely on accuracy. Evaluating the cost along with accuracy is crucial for agent…

Practical Solutions and Value of Instruction Pre-Training (InstructPT) Instruction Pre-Training Framework Instruction Pre-Training enriches raw text with synthesized instruction-response pairs before pre-training the language models. This process involves an instruction synthesizer that converts raw corpora into…

Text-to-video diffusion models have revolutionized media creation and interaction. The lack of a comprehensive dataset of text-to-video prompts in the field has restricted the creative potential and evaluation of these models. VidProM, a pioneering dataset by…

A new integer-to-string conversion algorithm, called “LR printer,” outperforms the optimized standard algorithm by 25-38% for 32-bit and 40-58% for 64-bit integers. It’s beneficial for applications that generate large text files with numerous integers, affecting performance…

Understanding AI-Driven Antitrust and Competition Law The rise of artificial intelligence (AI) in market economics has created a new frontier for antitrust and competition law. As businesses increasingly adopt AI-driven pricing algorithms, the potential for algorithmic…

This article details the integration of Large Language Models (LLMs), specifically the “Flan T5” model, with Apache Spark for text data transformations such as sentiment analysis. It provides instructions on setting up Apache Spark and Python,…

This week, there has been significant focus on AI. The White House introduced an executive order aimed at promoting safe and trustworthy AI systems, while the G7 agreed on a voluntary code of conduct for AI…

RealFill is a novel framework introduced by researchers to address the challenge of Authentic Image Completion. It aims to generate content that fills in missing parts of a photograph while remaining faithful to the original scene.…

Large Language Models (LLMs) like GPT-3 have revolutionized Natural Language Processing. They demonstrate exceptional language recognition and excel in various areas such as reasoning, visual comprehension, and code development. LLMs possess broad understanding and can handle…

Nvidia will delay the release of its H20 AI chip designed for the Chinese market until early 2024. The delay is a result of strategic challenges and compliance requirements, including integrating the chip into server infrastructure.…

The Power of Large Language Models (LLMs) in Natural Language Processing (NLP) Understanding LLM Reasoning Abilities Large Language Models (LLMs) like GPT-3 and GPT-4 have revolutionized Natural Language Processing (NLP) with their remarkable reasoning capabilities. Evaluating…

Practical Solutions and Value of AI Benchmarking Study Practical Solutions The study evaluated large language models (LLMs) such as Llama2, Mistral, Gemma, and GPT across key safety metrics: factuality, toxicity, bias, and propensity for hallucinations. Value…