Abstract Video – animateDiff – automatic1111
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The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT. Companies still often accept …
Read more “The importance of data ingestion and integration for enterprise AI”
With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond. Large language models (LLMs) are a …
Read more “Inference Llama 2 models with real-time response streaming using Amazon SageMaker”
The recent growth in distributed, compute-intensive ML applications has prompted data scientists and ML practitioners to find easy ways to prototype and develop their ML models. Running your Jupyter notebooks and JupyterHub on Google Kubernetes Engine (GKE) can provide a way to run your solution with security and scalability built-in as core elements of the …
Read more “Getting started with AI notebooks and Jupyterhub on GKE”
The US financial regulator says its official @SECGov account was “compromised,” resulting in an “unauthorized” post about the status of Bitcoin ETFs.
Researchers have developed a new soft robot design that engages in three simultaneous behaviors: rolling forward, spinning like a record, and following a path that orbits around a central point. The device, which operates without human or computer control, holds promise for developing soft robotic devices that can be used to navigate and map unknown …
Read more “New soft robots roll like tires, spin like tops and orbit like moons”
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Posted by Ayça Çakmakli, UX Lead, Google Research, Responsible AI and Human Centered Technology Team Google’s Responsible AI User Experience (Responsible AI UX) team is a product-minded team embedded within Google Research. This unique positioning requires us to apply responsible AI development practices to our user-centered user experience (UX) design process. In this post, we …
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