How to Use R for Text Mining
Text mining in R helps you explore large text data to find patterns and insights. This article walks through the basics of using R for text mining, from data preparation…
ai
Is Your Next Outfit Created by a Robot?
Imagine stepping into your favorite store and realizing the dress that caught your eye wasn’t designed by a human at all—but by a robot. Sounds like something straight out of…
Microsoft Researchers Unveil RadEdit: Stress-testing Biomedical Vision Models via Diffusion Image Editing to Eliminate Dataset Bias
Biomedical vision models are increasingly used in clinical settings, but a significant challenge is their inability to generalize effectively due to dataset shifts—discrepancies between training data and real-world scenarios. These…
MaskLLM: A Learnable AI Method that Facilitates End-to End Training of LLM Sparsity on Large-Scale Datasets
LLMs, characterized by their massive parameter sizes, often lead to inefficiencies in deployment due to high memory and computational demands. One practical solution is semi-structured pruning, particularly the N: M…
This AI Paper from KAIST, UCL and KT Investigates the Acquisition and Retention of Factual Knowledge in Large Language Models
Large language models (LLMs) have garnered significant attention for their ability to understand and generate human-like text. These models possess the unique capability to encode factual knowledge effectively, thanks to…
LightLLM: A Lightweight, Scalable, and High-Speed Python Framework for LLM Inference and Serving
Large language models (LLMs) have advanced significantly in recent years. However, its real-world applications are restricted due to substantial processing power and memory requirements. The need to make LLMs more…
OpenAI unveils Realtime API and other features for developers
OpenAI didn’t release any new models at its Dev Day event but new API features will excite developers who want to use their models to build powerful apps. OpenAI has…
Logic-of-Thought: Enhancing Logical Reasoning in Large Language Models through Propositional Logic Augmentation
Large Language Models (LLMs) have made significant strides in various Natural Language Processing tasks, yet they still struggle with mathematics and complex logical reasoning. Chain-of-Thought (CoT) prompting has emerged as…
Instructive Decoding (ID): A Novel AI Method that Enhances the Attention of Instruction-Tuned LLMs Towards Provided Instructions during the Generation Phase without Any Parameter Updates
Instruction-tuned LMs have shown remarkable zero-shot generalization but often fail on tasks outside their training data. These LMs, built on large datasets and billions of parameters, excel in In-Context Learning…
EU samlar globala experter för att utforma en ”praxiskod” för AI
EU:s AI-kod är en del av AI-lagstiftningen och syftar till att reglera allmänna AI-modeller. Initiativet involverar hundratals experter från olika sektorer som arbetar tillsammans för att skapa en effektiv ram.…