Scale
Artificial Intelligence
A Complete Guide to Effectively Scale your Data Pipelines and Data Products with Contract Testing and dbt
First, we want so as to add two recent dbt packages, dbt-expectations and dbt-utils, that can allow us to make assertions on the schema of our sources and the accepted values.# packages.ymlpackages:- package: dbt-labs/dbt_utilsversion:...
Artificial Intelligence
OpenAI partners with Scale to supply support for enterprises fine-tuning models
OpenAI and Scale are joining forces to assist more firms profit from fine-tuning our most advanced models.Corporations expect high performance, steerability, and customization relating to deploying AI in production. We recently launched fine-tuning for...
Artificial Intelligence
Wand.app raises $4.2M to scale its AI-powered creative tool for artists
Wand.app, an AI-powered creative tool that offers artists the flexibility to manually customize and visualize their ideas, has raised $4.2 million in seed funding led by O’Shaughnessy Ventures. Unlike AI-powered creative tools that provide...
Artificial Intelligence
Constructing a big scale unsupervised model anomaly detection system — Part 2
Constructing ML Models with Observability at ScaleBy Rajeev Prabhakar, Han Wang, Anindya SahaThe highlighted red lines (anomalous hours from the prediction data) co-inside with a spike and drop in request latency, causing anomalies within...
Artificial Intelligence
Hyperlocal Forecasting at Scale: The Swiggy Forecasting platform Introduction Time series forecasting on the hyperlocal level The Swiggy Forecasting platform (FP) Event Handling The End-to-End-Pipeline Tenets for the pipeline design Implementation Conclusion
Co-authored with Viswanath Gangavaram, Karthik Sundar, Ishita DuttaFood delivery is a posh hyperlocal business spread over 1000's of geographical zones across India. Here zones represent smaller geographical areas. The power to appropriately predict the...
Artificial Intelligence
Segmentation at Scale to Enable Higher Health Outcomes Motivation TLDR; the Model and Segmentation Logic Technical Considerations Conclusion
At League it's our mission to empower people to live happier, healthier lives. With the intention to best serve our members it's imperative that we're in a position to predict their individual level of...
Artificial Intelligence
How To Scale Transformers’ Memory as much as 262K Tokens With a Minor Change? What’s the difficulty? What’s the answer? What’s the result? The KNN lookup in a...
Extending Transformers by memorizing as much as 262K tokensThis text is a superb try and leverage language models in memorizing information by transformers with the least required effort. The purpose is that we are...
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