All roads do lead back to informatica lmao
DATA
-
1-bit LLMs: Optimizing Parameters and Data with Chinchilla Laws
By
–
My favorite part about @honicky
's Paper Club session this week on the 1-bit LLMs paper – relating it to @jefrankle
's Beyond Chinchilla laws and adjusting the equations for the memory/latency characteristics of 1-bit LLMs to derive an optimal param count/data size to aim for. no -
Thanking MIT Tech Review for household robots and AI reporting
By
–
TY @Melissahei for great reporting: @techreview @chelseabfinn @LerrelPinto @svlevine @berkeley_ai https://
technologyreview.com/2024/04/11/109
0718/household-robots-ai-data-robotics/
… @techreview -
Building GenAI Apps and Training LLMs for Summit
By
–
To-do list: Build a #GenAI app Train an #LLM Register for #DataAISummit: https://
bit.ly/3UlaDA7 -
Cloud AI Companies Implicated in Surveillance System Facilitating Mass Murder
By
–
There is almost no way the large cloud companies providing massive compute services AI surveillance & data processing APIs aren't implicated in the system of 'ad targeting for death' being used to facilitate mass murder in Gaza. This is a nightmare. And it's going to take
-
Unity Catalog: Data Lineage and Feature Store Capabilities
By
–
The technology behind Unity Catalog supports a variety of business outcomes: faster innovation, cost reduction, compliance support & more. Dive into some of the capabilities that make this possible, such as our data lineage, Feature Store, & more!
-
Working with Machine Learning Models and Big Data Technologies
By
–
Working with #MachineLearning model
by @DataScienceDojo #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @pbalakrishnarao @rtehrani @pascal_bornet https://
buff.ly/4aofQMr -
Adobe faces data contamination criticism in AI training
By
–
Gonna delete the thread (the point about data contamination is real but I don’t want to let Adobe off the hook) Thanks for your reporting!
-
Six Statistical and Machine Learning Pitfalls in Data Science
By
–
6 Statistical and #MachineLearning pitfalls
by @levikul09 #BigData #ArtificialIntelligence #MI #DataScience #DL cc: @pascal_bornet @yvesmulkers @kuriharan -
Data-Driven User Personas: Budget-Friendly Customer Profiling Methods
By
–
Precise user personas, on a budget? It can be done! We suggest using publicly available data sources to craft authentic personas based on real-world behavior https://
palantir.net/blog/data-driv
en-personas-crafting-customer-profiles-precision
… #ux #uxresearch #digitaltransformation