To be clear, ESPECIALLY if it’s super small, the model is insanely impressive. But it is not *better*.
MACHINE LEARNING
-
AI Integration Simplifies MLOps and ETL Pipeline Complexity
By
–
By bringing AI directly to data developers and organizations can avoid the complexity of building and integrating MLOps and ETL pipelines as well as migrating and duplicating data across multiple environments. Check this out: https://
superduperdb.com -
SuperDuperDB Simplifies AI Integration on Existing Data Infrastructure
By
–
SuperDuperDB eliminates complex MLOps pipelines, specialized vector databases – and the need to migrate and duplicate data by integrating AI at the data’s source, directly on top of your existing data infrastructure. This simplifies building and managing AI applications.
-
GPT-4o capability in detecting annotations
By
–
GPT-4o seem to be able to easily detect these annotations
-
Data Context Critical for AI Machine Learning Insights
By
–
Data without context is just useless and misleading! Credit: Ralph Aboujaoude Diaz
#artificialintelligence#machinelearning #computervision #data -
SmartChoices: Learning Integration in YouTube Video Caching
By
–
And the SmartChoices system, which makes it easy to integrate learned choices in the middle of "classic hand-written code", and as one example of this system, how it was used to use learning to select which items to replace in the YouTube video caching system (result in a huge
-
Machine Learning for Memory Lifetime Prediction and Fragmentation
By
–
And learning for predicting object lifetimes, so as to reduce memory fragmentation in memory allocation systems, from this work: https://
cacm.acm.org/research/combi
ning-machine-learning-and-lifetime-based-resource-management-for-memory-allocation-and-beyond/
… -
Machine Learning for Better Compiler Decision Making
By
–
I also talked about a number of ML for Computer Systems topics. One was the use of learning for better compiler decisions.
-
RL Achieves Wirelength Reduction vs Human Expert Placement
By
–
Percentage wirelength reduction of the RL solution vs. the same block placed by a human expert.
-
Making Inference Performance Faster: Key Discussion Points
By
–
I also discussed a number of issues around how to make inference performance faster and why this was important.