Safeguarding Healthcare AI: Exposing and Addressing LLM Manipulation Risks

In September 2022, former Google AI experts Noam Shazeer and Daniel De Freitas released Character.AI, an advanced chatbot. By May 2023, the app had over 1.7 million downloads and high user engagement. As of 2024, it…

OpenAI’s GPT-4 Turbo has received mixed reactions since its launch. While OpenAI claims it is an improvement over its predecessor, user experiences suggest otherwise. An independent benchmark test showed a drop in performance from GPT-4 to…

FreeNoise is a new paradigm that improves pretrained video diffusion models for generating longer videos conditioned on multiple texts. It utilizes noise rescheduling and temporal attention techniques to enhance content consistency and computational efficiency. The approach…

Language model training raises ethical and legal concerns due to potential leaks of sensitive information, unintended biases, and lower model quality. Researchers from various institutions demonstrate their commitment to transparency by releasing a comprehensive audit, including…

Understanding Multimodal Large Language Models (MLLMs) Multimodal large language models (MLLMs) are a promising step towards achieving artificial general intelligence. They combine different types of sensory information into one system. However, they struggle with basic vision…

Cloglog regression is a statistical modeling technique used to analyze binary response variables. It is an alternative to logistic regression in special scenarios where the probability of an event is very small or very large. Cloglog…

This article discusses the performance of the Llama-2 AI model in analyzing a dataset and suggesting a database schema. Llama-2 successfully identifies categorical and confidential columns in the dataset and suggests a database schema with separate…

Understanding the Challenges of Artificial Neural Networks Artificial Neural Networks (ANNs) have significantly advanced computer vision, but their lack of transparency poses challenges in areas that require accountability and regulatory compliance. This opacity limits their use…

In 2023, Towards Data Science reflected on the diversity and dynamism of the data science field, curating memorable posts in programming, career growth, and creative projects. The selection included articles on Python coding, career advice, and…

Summary: SIMA is a Scalable Instructable Multiworld Agent being introduced.

Understanding the Challenges in Laryngeal Imaging Semantic segmentation of the glottal area using high-speed videoendoscopic (HSV) sequences is crucial for studying the larynx. However, there is a lack of high-quality, annotated datasets that are essential for…

Global payment leader Mastercard has partnered with crypto payment platform MoonPay to leverage Web3 tools for improved marketing and customer engagement. The collaboration was announced at the Money20/20 event in Las Vegas, with both companies expressing…

The article introduces the use of Directed Acyclic Graphs (DAG) and backdoor criterion in causal inference for experimental settings to select good control variables. It explains the process through a data science problem of influencing sustainable…

The H2O-Danube3 Series: Revolutionizing AI Language Models Addressing Efficiency and Performance Challenges: The field of natural language processing (NLP) is rapidly evolving, with a focus on small language models designed for efficient inference on consumer hardware…

The research team behind QUILT-1M has introduced a groundbreaking solution to the scarcity of comprehensive datasets in histopathology. By leveraging educational histopathology videos on YouTube, they have curated a dataset of 1 million paired image-text samples.…