Behind Bitcoin's 'Flash Drop' to $88,000: Lessons Learned on Chain
The past week has been an eventful seven-day span for bitcoin price action and the overall cryptocurrency market. From the ...
Tag: Learned
What we learned about teaching and creativity by commissioning a new podcast theme song
A podcast's theme song may only play for a few seconds at the beginning and end of an episode, but ...
From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2
In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) ...
From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1
The AWS Generative ai Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge ...
Google AI introduces CardBench: a comprehensive benchmarking system that includes over 20 real-world databases and thousands of queries to revolutionize learned cardinality estimation
Cardinality estimation (CE) is crucial for optimizing query performance in relational databases. It involves predicting the number of intermediate results ...
The most important lesson I've learned as a trauma psychotherapist turned school counselor
I was in my early twenties when I began my career as a childhood trauma psychotherapist on the South Side ...
Electric bikepacking: lessons learned over four days and 250 miles
“Electric bikes are for cheaters” is the refrain sung by cocksure men in lycra, worried their weekend hobbies will be ...
How miners learned to stop worrying and love JPEG
This article appears in bitcoin Magazine. “The question of registration.” Click here to get your annual subscription to bitcoin Magazine.Click ...
This NVIDIA AI paper proposes Compact NGP (Neural Graph Primitives): a machine learning framework that maps hash tables with learned probes for optimal speed and compression
Neural graph primitives (NGPs) show promise in enabling the seamless integration of new and old assets in various applications. They ...
This Cornell paper presents Multivariate Learned Adaptive Noise (MuLAN): Advances in Machine Learning in Image Synthesis with Improved Diffusion Models
Diffusion models stand out for their ability to create high-quality images by transforming data into noise, a process inspired by ...
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