It also acquired Statsig, Software Applications Incorporated, and Jony Ive’s AI devices startup in the past months.
What Neptune does! What is special about Neptune?
OpenAI uses Neptune already.
With a record of 30,000 projects tracked, Neptune is trusted by 60,000 researchers and 1500 commercial teams.
It started in 2017 with Deepsense.ai, and came out of it later. Grew from a 10-person team in 2018 to a 30+ team in 2022, to a 50+ team when it launched Neptune Scale in beta. They have been helping ML trainings since then.
The mission of Neptune.ai is to provide users the same level of confidence in training Large Language Models as software developers have when shipping product releases.
This is needed; training models is a crucial task in intelligence by LLM.
It can monitor, debug, and evaluate the training processes that are built on top of Neputune.
They provide tools and statistics that make complex training processes clear.
A plethora of researchers across the AI industry use Neptune tools.
This is like the backbone of model development, as researchers can access ongoing training analytics, debug, and edit.
Training frontier AI models is a crucial step in building the model.
With Neptune, researchers and companies can track and monitor training.
With Neptune, researchers can edit, experiment, and know the results with changes.
Researchers can compare hundreds of model executions, view analytics, and view the changes they produced.
It provides analytics and feedback, which are much needed for developing an intelligent LLM bot.
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So, this is a great deal and a good frontier for both OpenAI and Neptune.ai to enter, which is fulfilled by the progress and deal made.
Thank you for reading.
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Artificial Intelligence, Computer Science & Mathematics 