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Repositories with the most stars! Happy New Year 2024! As the first post in the new year, just like what I did before, I’m very curious about what were the most popular Python projects so far. GitHub is definitely the most suitable place to have these statistics. Although not all the open-sourced projects will be…
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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…
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…
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.
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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…
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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…
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…
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…
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…