Augmenting reality with Stable Diffusion. Just experimenting.
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Last Updated on April 5, 2023 Deep learning is a fascinating field of study and the techniques are achieving world class results in a range of challenging machine learning problems. It can be hard to get started in deep learning.Which library should you use and which techniques should you focus on? In this 9-part crash …
TL;DR The Future of Life Institute calls for a 6-month AI moratorium. Image Credit Pause Giant AI Experiments: An Open Letter … We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. — Future of Life Institute The Future of Life Institute …
Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra FAQs allow users to upload …
Read more “Automate and implement version control for Amazon Kendra FAQs”
In our new blog series, “Meet our Data Champions,” we showcase the exciting work Google Cloud customers are doing with data and AI/ML. In this edition, we talk to Bob Summers, CEO and founder of Goodcall, a company whose phone AI service leverages Google Cloud Speech AI technologies to bring the power of AI to …
Databricks on Tuesday launched Lakehouse for Manufacturing, a new platform to unify data and AI for various analytics use cases.Read More
A multidisciplinary team has created a new fabrication technique for fully foldable robots that can perform a variety of complex tasks without relying on semiconductors.
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In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web. We describe the dataset curation and training process of our model, and also present the results of a user study that compares our model to ChatGPT and Stanford’s Alpaca. Our results show that Koala can …
Denoising Diffusion models have demonstrated their proficiency for generative sampling. However, generating good samples often requires many iterations. Consequently, techniques such as binary time-distillation (BTD) have been proposed to reduce the number of network calls for a fixed architecture. In this paper, we introduce TRAnsitive Closure Time-distillation (TRACT), a new method that extends BTD. For …
Read more “TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation”