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Generating Synthetic Descriptive Data in PySpark | by Matt Collins | Jan, 2024

Data ScienceJanuary 4, 202441Views 0Likes 0Comments

Use various data source types to quickly generate text data for artificial datasets. Image generated with DALL-E 3In a previous article, we explored creating many-to-one relationships between columns in a synthetic PySpark DataFrame. This DataFrame only consisted of Foreign Key information and we didn’t produce any textual information that might be useful in a demo…

Run an LLM Locally with LM Studio

Data AnalyticsJanuary 4, 202455Views 0Likes 0Comments

Screenshot by Editor It’s been an interesting 12 months. A lot has happened with large language models (LLMs) being at the forefront of everything tech-related. You have LLMs such as ChatGPT, Gemini, and more. These LLMs are currently run in the cloud, meaning they run somewhere else on someone else's computer. For something…

Meet MobileVLM: A Competent Multimodal Vision Language Model (MMVLM) Targeted to Run on Mobile Devices

AI NewsJanuary 4, 202460Views 0Likes 0Comments

A promising new development in artificial intelligence called MobileVLM, designed to maximize the potential of mobile devices, has emerged. This cutting-edge multimodal vision language model (MMVLM) represents a major advancement in incorporating AI into common technology since it is built to function effectively in mobile situations. Researchers from Meituan Inc., Zhejiang University, and Dalian University…

Probing Image-Language Transformers for Verb Understanding

OpenAIJanuary 4, 202444Views 0Likes 0Comments

Grounding language to vision is a fundamental problem for many real-world AI systems such as retrieving images or generating descriptions for the visually impaired. Success on these tasks requires models to relate different aspects of language such as objects and verbs to images. For example, to distinguish between the two images in the middle column…

Philosophy and Data Science — Thinking Deeply about Data | by Jarom Hulet | Jan, 2024

Data ScienceJanuary 4, 202448Views 0Likes 0Comments

Part 3: Causality Image by Cottonbro Studios from Pexels.comMy hope is that by the end of this article you will have a good understanding of how philosophical thinking around causation applies to your work as a data scientist. Ideally you will have a deeper philosophical perspective to give context to your work! This is the…

What Junior ML Engineers Actually Need to Know to Get Hired?

Data AnalyticsJanuary 4, 202452Views 0Likes 0Comments

Photo by Mikhail Nilov As a seasoned ML developer who has hired many junior engineers across different projects, I have come to realize that there are certain skills essential for a junior developer to be considered for a job in the field. These skills vary depending on the project and the company, but…

Researchers from UCLA and Snap Introduce Dual-Pivot Tuning: A Groundbreaking AI Approach for Personalized Facial Image Restoration

AI NewsJanuary 4, 202442Views 0Likes 0Comments

Image restoration is a complex challenge that has garnered significant attention from researchers. Its primary objective is to create visually appealing and natural images while maintaining the perceptual quality of the degraded input. In cases where there is no information available concerning the subject or degradation (blind restoration), having a clear understanding of the range…

Learning Robust Real-Time Cultural Transmission without Human Data

OpenAIJanuary 4, 202446Views 0Likes 0Comments

Research Published …

How Artificial Intelligence Might be Worsening the Reproducibility Crisis in Science and Technology | by LucianoSphere (Luciano Abriata, PhD) | Jan, 2024

Data ScienceJanuary 4, 202441Views 0Likes 0Comments

Discussion backed up by some concrete examples, sketching broad guidelines on how to develop better AI systems Photo by National Cancer Institute on UnsplashArtificial Intelligence has become an integral tool in scientific research, but concerns are growing that the misuse of these powerful tools is leading to a reproducibility crisis in science and its technological…

Unveiling Groundbreaking Predictions for 2024 Aiiot Talk

IoTJanuary 3, 202447Views 0Likes 0Comments

The volatile artificial intelligence (AI) market will see debate, traction and advancement in 2024, though these trends may appear differently than you expect. Investors will divide their financial resources in various ways, and public AI usage will shift. The upcoming year will prove pivotal in AI’s trajectory concerning ethical mentalities to worldwide legislation. 1.…