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Using Lightning AI Studio For Free

Data AnalyticsJanuary 4, 2024358Views 0Likes 0Comments

Image by Author In this post, we will be learning about a new Cloud IDE that is both free and user-friendly. It is an upgraded version of Google Colab that allows you to save your projects, use essential plugins, and run generative models on GPU for free. Lightning AI Studio is…

Google and MIT Researchers Introduce Synclr: A Novel AI Approach for Learning Visual Representations Exclusively from Synthetic Images and Synthetic Captions without any Real Data

AI NewsJanuary 4, 2024232Views 0Likes 0Comments

Raw and frequently unlabeled data can be retrieved and organized using representation learning. The ability of the model to develop a good representation depends on the quantity, quality, and diversity of the data. In doing so, the model mirrors the data’s inherent collective intelligence. The output is directly proportional to the input. Unsurprisingly, the most…

Shaping the future of advanced robotics

OpenAIJanuary 4, 2024215Views 0Likes 0Comments

AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments. Source link

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

Data ScienceJanuary 4, 2024187Views 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, 2024274Views 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, 2024240Views 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, 2024195Views 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, 2024223Views 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, 2024217Views 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, 2024242Views 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…