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Building Resilient Funding Models: Essential Tips for Nonprofit Finance Professionals

sgEngage

By actively bringing together different departments and leading discussions around revenue diversification, you can set measurable goals, evaluate the ROI of each funding source, and make informed decisions about where to invest time and resources. Set performance benchmarks (e.g., The good news?

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Please Use Streaming Workload to Benchmark Vector Databases

Towards Data Science

Why static workload is insufficient and what I learned by comparing HNSWLIB and DiskANN using streaming workload Image by DALLE-3 Vector databases are built for high-dimensional vector retrieval. In this post, I point to several problems with the way we currently evaluate ANN indexes and suggest a new type of evaluation.

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Delivering Excellence in the Age of AI or Association 4.0

.orgSource

If an organizational evaluation isn’t on your agenda, now is the time to revise your schedule. At.orgSource we call this new benchmark for performance Association 4.0, Financial Performance : Pursue diversified revenue streams. Long-standing equations for success are out of balance.

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AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR

Google Research AI blog

Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. LibriSpeech ). Unconstrained audiovisual speech recognition.

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Benchmarking the next generation of never-ending learners

DeepMind Blog

Our new paper, NEVIS’22: A Stream of 100 Tasks Sampled From 30 Years of Computer Vision Research, proposes a playground to study the question of efficient knowledge transfer in a controlled and reproducible setting.

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Guest Post by Anne Mai Bertelsen: Contests for Good - An Insider's View

Beth's Blog: How Nonprofits Can Use Social Media

Those of us who have planned, executed and evaluated these types of contests for good on behalf of major brands have done so with the best intentions and not to “cause wash” — i.e., buy good brand karma under the guise of philanthropy. Just evaluating all the submissions can take many, many people hours.

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Dataflow Architecture-Derived Data Views and Eventual Consistency

Towards Data Science

A quick recap of part i The evolution of a data pipeline In part I , we watched SmartGym grow into (version 2.1), an integrated health and fitness platform that streams , processes , and saves data from a range of gym equipment sensors and medical devices. users, sensor stream New data is first written here.

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