In-depth Azure Machine Learning Model Train, Test, and Deploy Pipelines on Cloud With Endpoints for Web APIs
Author(s): Amit Chauhan An image by the Author The workspace consists of various artifacts Manage resources: It includes compute instances and compute clusters. Linked Services: Data Stores: It is a service to store various data. For example โ Blob storage, hive storage, …
Detecting Bad Posture With Machine Learning
Author(s): Leon Eversberg Photo by julien Tromeur on Unsplash According to the World Health Organization, musculoskeletal conditions are the leading contributor to disability worldwide, with low back pain being the main contributor [1]. Using state-of-the-art machine learning and computer vision, it …
Donโt Frustrate Your Data Scientists (If You Want Them to Stay)
Author(s): Stu Bailey As I speak with data scientists, especially those working in Global 1000 companies, many express concerns about their situation. ย In some sense, theyโre victims of their own success:ย Data scientists are producing models that are making substantial contributions …
I spent $15 in DALLยทE 2 credits creating this AI image, and hereโs what I learned
Author(s): Joy Zhang Yes, thatโs a llama dunking a basketball. A summary of the process, limitations, and lessons learned while experimenting with the closed Beta version of DALLยทE 2. Llama playing basketball, generated using DALLยทE 2 by author. Iโve been dying to …
Which NLP Task Does NOT Benefit From Pre-trained Language Models?
Author(s): Nate Bush There is such a long history of pre-trained general language representation models with a massive impact that we take for granted that they are a completely 100% necessary foundation for all NLP tasks. There were two separate step function …