40+ Cool AI Tools You Should Check Out (December 2023)

This week’s news roundup highlights various AI-related topics. The FCC is exploring solutions to tackle the issue of robocalls powered by AI. The mayor of New York City used deepfake technology to deliver automated calls in…

Enhancing Large Language Models with RAGCache Retrieval-Augmented Generation (RAG) improves large language models (LLMs) by adding external knowledge for better responses. However, it can be costly in terms of computation and memory. This is mainly due…

The Value of Glasskube: A Open Source Package Manager for Kubernetes Practical Solutions and Benefits The Glasskube tool simplifies Kubernetes package management, providing a faster and more streamlined process for installation, updates, and configuration. It offers…

In November 2022, OpenAI launched ChatGPT, which quickly became the fastest-growing web app. Microsoft and Google also revealed plans to integrate chatbots with search, despite early hiccups. The tech now promises to revolutionize daily internet interactions,…

MIT researchers have found evidence suggesting that the brain may develop an intuitive understanding of the physical world through a process similar to self-supervised learning. Using models known as neural networks, they trained them using self-supervised…

Getir, established in 2015, is a leading ultrafast grocery delivery company with a multinational presence. Utilizing Amazon SageMaker and AWS Batch, they reduced model training time by 90% and improved operational efficiency. Their data science team…

Rightsify’s Global Copyright Exchange (GCX) Practical Solutions and Value Rightsify’s GCX offers vast collections of copyright-cleared music datasets tailored for machine learning and generative AI music initiatives. These datasets encompass millions of hours of music, over…

A data scientist’s guide to combating category size bias: size doesn’t necessarily correlate with quality or performance. Small models can be effective, accuracy can mask class imbalance, larger datasets don’t always improve predictions, and longer algorithms…

Transforming Human-Machine Interaction with LLaSA-3B Text-to-speech (TTS) technology is essential for improving communication between humans and machines. There is a growing need for voices that sound real, express emotions, and can speak multiple languages. Traditional TTS…

Genetic algorithms are highlighted as an efficient tool for feature selection in large datasets, showcasing how it can be beneficial in minimizing the objective function via population-based evolution and selection. A comparison with other methods is…

Researchers at Los Alamos National Laboratory have developed a new artificial intelligence (AI) approach called Senseiver that allows for efficient data processing. Senseiver uses a neural network to represent extensive data with minimal computational resources, reducing…

Practical AI Solution for 3D Segmentation: SAM2POINT Addressing 3D Segmentation Challenges Adapting 2D-based segmentation models to 3D data for applications like autonomous driving, robotics, and virtual reality is a critical challenge. SAM2POINT offers an innovative approach…

Causal reasoning is crucial for human intelligence, enhancing scientific reasoning and decision-making. Researchers have introduced CLADDER, a dataset to test formal causal reasoning in language models. This comprehensive dataset covers diverse causal queries, designed to evaluate…

Multimodal Large Language Models (MLLMs) have made significant strides in AI but struggle with processing misleading information, leading to incorrect responses. To address this, Apple researchers propose MAD-Bench, a benchmark to evaluate MLLMs’ handling of deceptive…

MIT researchers have discovered that image recognition difficulty for humans has been overlooked, despite its importance in fields like healthcare and transportation. They developed a new metric called “minimum viewing time” (MVT) to measure image recognition…

Understanding the o1 Model and Its Impact on AI The o1 model shows great potential for AI by enhancing complex reasoning through a method called test-time computing scaling. This approach focuses on improving System-2 thinking by…