Source: thenewstack.io
Google’s New TensorFlow Tools and Approach to Fine-Tuning ML
Today at Google I/O, the web giant’s annual developer conference, Google announced a bunch of new AI tools — including new tooling for the TensorFlow ecosystem, a new one-stop shop for developers called ML Hub, and upgrades to its cross-platform set of ML solutions called MediaPipe. Ahead of the announcements, I conducted an email interview with https://www.linkedin.com/in/aspinelli/, Vice President of Product Management for Machine Learning at Google.
I asked Spinelli whether developers will be able to use any of the above tools on Google’s large language models (LLMs)?
I asked Spinelli why a developer might want to use ML models via TensorFlow instead of Google’s LLMs.
The new front page for ML developers, ML Hub, is being positioned as a kind of portal to “enable developers to build bespoke ML solutions.”
I asked Spinelli whether developers will be able to use any of the above tools on Google’s large language models (LLMs)?
I asked Spinelli why a developer might want to use ML models via TensorFlow instead of Google’s LLMs.
The new front page for ML developers, ML Hub, is being positioned as a kind of portal to “enable developers to build bespoke ML solutions.”
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