This article explores the limitations of using Large Language Models (LLMs) for conversational data analysis and proposes a 'Data Recipes' methodology as an alternative. The methodology allows for the creation of a reusable Data Recipes Library, improving response times and enabling community contribution.
OpenAI has released an easy-to-use web tool to create custom AI assistants without coding, requiring only a Google or Microsoft account and a $20/month OpenAI Plus subscription. Users can personalize their AI assistant's name, picture, tone, and interaction style, and enhance its knowledge by uploading specific documents.
Generative AI applications using large language models (LLMs) offer economic value, but managing security, privacy, and compliance is crucial. This article provides guidance on addressing vulnerabilities, implementing security best practices, and architecting risk management strategies for generative AI applications.
GeForce NOW levels up PC gaming on mobile with higher-resolution support on Android, offering immersive gameplay on the go. New games added to the library include Stargate: Timekeepers, Enshrouded, and Metal: Hellsinger.
The article discusses the singular value decomposition (SVD) algorithm and the author's process of refactoring the Jacobi algorithm from the GNU Scientific Library to Python/NumPy. The author validates their from-scratch SVD function using the np.linalg.svd() function and highlights the usefulness of SVD in classical statistics and machine learning.
This article explores monocular depth estimation (MDE) and its importance in computer vision applications. It provides a walkthrough on loading and visualizing depth map data, running inference with Marigold and DPT, and evaluating depth predictions using the SUN RGB-D dataset.
The UK's top intelligence agency warns that malicious cyberactivity will increase with the incorporation of AI, with ransomware being the biggest threat. AI will lower barriers to entry, allowing both novices and experienced threat actors to exploit vulnerabilities and bypass security defenses more efficiently.
NVIDIA introduces RTX Video HDR, using AI to transform standard dynamic range video into stunning HDR on HDR10 displays. The new GeForce RTX 4070 Ti SUPER offers enhanced performance for video editing and rendering, running up to 2.5x faster with DLSS 3.
Google has announced Lumiere, an advanced text-to-animal AI video generator capable of creating realistic videos of cute animals in various scenarios. Lumiere's unique architecture allows it to generate the entire temporal duration of a video at once, achieving global temporal consistency.
Generative AI solutions are transforming businesses, but they can produce factual inaccuracies. A Retrieval Augmented Generation (RAG) pipeline, using an AI-native technology stack, offers accurate, transparent, and secure generative AI applications by providing additional information from an external knowledge source.
Data science enthusiast builds successful AI web app serving thousands of users, sharing technical tips and lessons learned along the way, including using Next.js, FastAPI, and AWS Lambda for deployment, and Firebase + Stripe for user authentication and payments.
An exploration of the taste differences between European and American M&Ms, with European chocolate being perceived as superior. The author conducts an experiment with other Americans in Denmark to compare the two varieties.
Gemini, Google's new language model, aims to rival OpenAI's GPT-4 with its larger size and multi-modal capabilities. However, the article questions how Gemini truly compares to its competitor and highlights the need for further examination of benchmark test results.
Czech playwright Karel Čapek invented the word "robot" in 1921, but was unhappy with its evolution to denote mechanical entities. In a newly translated article, Čapek expresses frustration with how his original vision for robots was being subverted, arguing that they should be based on science, not technology.
Spectral clustering, a complex form of machine learning, transforms data into a reduced-dimension form and applies k-means clustering. Implementing spectral clustering from scratch in Python was a challenge, but the results were identical to the scikit-learn module, with the most difficult part being computing eigenvalues and eigenvectors of the normalized Laplacian matrix.