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Meet ScaleCrafter: Unlocking Ultra-High-Resolution Image Synthesis with Pre-trained Diffusion Models
Researchers have developed ScaleCrafter, a method that enables the generation of ultra-high-resolution images using pre-trained diffusion models. By dynamically adjusting the convolutional receptive field, ScaleCrafter addresses issues like object repetition and incorrect object topologies. It also introduces innovative strategies like dispersed convolution and noise-damped classifier-free guidance. The method has been successfully applied to a text-to-video…
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6 Magic Commands for Jupyter Notebooks in Python Data Science
Jupyter Notebooks are widely used in Python-based Data Science projects. Several magic commands enhance the notebook experience. These commands include “%%ai” for conversing with machine learning models, “%%latex” for rendering mathematical expressions, “%%sql” for executing SQL queries, “%run” for running external Python files, “%%writefile” for quick file creation, and “%history -n” for retrieving previous commands.…
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Dimensionality Reduction with Scikit-Learn: PCA Theory and Implementation
The Curse of Dimensionality refers to the challenges that arise in machine learning when dealing with problems that involve thousands or millions of dimensions. This can lead to skewed interpretations of data and inaccurate predictions. Dimensionality reduction techniques, such as Principal Component Analysis (PCA), can help mitigate these challenges by reducing the number of features…
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How Meesho built a generalized feed ranker using Amazon SageMaker inference
Meesho, an ecommerce company in India, has developed a generalized feed ranker (GFR) using AWS machine learning services to personalize product recommendations for users. The GFR considers browsing patterns, interests, and other factors to optimize the user experience. Meesho used Amazon EMR with Apache Spark for model training and SageMaker for model deployment. The implementation…
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Meta announces the AI-robot training platform Habitat 3.0
Facebook AI Research (FAIR) introduces Habitat 3.0, a virtual training ground for building AI agents that understand their environment and collaborate with humans. Habitat 3.0 allows robots and virtual humans to complete tasks in a digital environment, providing a safer and faster alternative to real-world training. FAIR also released the Habitat Synthetic Scenes Dataset (HSSD-200)…
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Chinese startup Zhipu secures 2.5 billion yuan ($340 million) in funding
China’s Zhipu AI, a startup founded by a professor from Tsinghua University, has raised 2.5 billion yuan ($340 million) in funding. The company has released a bilingual AI model, ChatGLM-6B, that understands Chinese and English, as well as a larger open-source model, the GLM-130B. Zhipu AI aims to compete with global AI giants and has…
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Google’s New AI-Powered Search Tool Stirs Concern Among Publishers
Google recently introduced a search feature called Search Generative Experience (SGE), which uses generative AI to provide summarized answers to search queries. While Google aims to improve user experience, media publishers are concerned about the lack of credit and compensation for their content. SGE’s summaries sometimes use information from publishers’ websites without proper accreditation. Publishers…
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DAI#9 – AI knows us a little too well and fails a Fugee
This week’s AI news highlights various topics. Google and Cambridge’s Centre for Human-Inspired AI collaborate to make AI safer. China and the UK hold AI Summit despite recent tensions. Baidu claims Ernie Bot matches GPT-4. AI can extract personal data from chat interactions, while AI companies struggle with transparency and alignment guardrails. AI aids in…
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How to Use ChatGPT Plus for Free (5 Simple Ways)
ChatGPT, the popular AI tool, has gained significant popularity. While the free version, ChatGPT 3.5, has limitations, there are ways to access the ChatGPT Plus (GPT-4) version for free. Options include using Bing AI Chat, Hugging Face Spaces, Poe AI, Phind, and Ora AI. Each platform has its own usage restrictions and features.
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Microsoft Researchers Propose DeepSpeed-VisualChat: A Leap Forward in Scalable Multi-Modal Language Model Training
Large language models, such as GPT, have shown exceptional performance in text-related tasks. However, efforts are being made to teach them how to comprehend and use other forms of information, such as sounds and images. Microsoft researchers have developed DeepSpeed-VisualChat, an advanced framework that enhances multi-modal capabilities and scalability in dialogue systems. The framework uses…