One of the Internet’s Oldest Software Archives Is Shutting Down
The Hobbes OS/2 Archive has been an institution for over three decades. Soon, it’ll be gone.
The future of AI could be great—or catastrophic
A survey of nearly 3,000 machine learning experts on how our lives will be different in an AI world has been completed and the results are in.
I fine-tuned an SDXL model on Figures. I probably trained close to 500 models to now be able to achieve this level of quality and generalization on different subjects.
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Generative AI for Credit Cards: Optimizing Marketing & Customer Engagement
The credit card business has seen its ups and downs in recent years. Growth in debit-first digital wallets like ApplePay, Google Pay and PayPal, Buy Now Pay Later (BNPL) alternatives, and higher interest rates have challenged credit’s dominance as the e-commerce payment method of choice. Combine that with COVID-19-related spending declines and balance payoffs, and …
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From Data to Map: Visualizing Ames House Prices with Python
Geospatial visualization has become an essential tool for understanding and representing data in a geographical context. It plays a pivotal role in various real-world applications, from urban planning and environmental studies to real estate and transportation. For instance, city planners might use geospatial data to optimize public transportation routes, while real estate professionals could leverage …
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Mixed-input matrix multiplication performance optimizations
Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies are weaving themselves into the fabric of our daily routines, with the potential to enhance our access to knowledge and boost our overall productivity. The backbone of these applications lies in large language models (LLMs). LLMs are memory-intensive and typically require specialized hardware accelerators …
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Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect for data quality. To this end, we …
How does data deduplication work?
Recent years have witnessed an explosion in the proliferation of self-storage units. These large, warehouse units have sprung up nationally as a booming industry because of one reason—the average person now has more possessions than they know what to do with. The same basic situation also plagues the world of IT. We’re in the midst …
Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart
When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the time it takes to generate a single token, and throughput, defined by the number of tokens generated per second. Although a single request to the deployed endpoint would exhibit a throughput …
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