Industry-first AI assistant for troubleshooting AI and other new
updates promise to speed development for AI engineers
SAN
FRANCISCO, July 11, 2024 /PRNewswire/ -- Arize AI, a
pioneer and leader in AI observability and LLM evaluation, today
debuted new capabilities to help AI developers evaluate and debug
LLM systems. The premiere is one among many taking place at the
Arize:Observe conference today, where speakers – including OpenAI,
Lowe's, Mistral, Microsoft, NATO, and others – are sharing the
latest research, engineering best practices, and open source
frameworks.
Arize Copilot – the industry's first AI assistant to
troubleshoot AI systems – is a new tool that surfaces
relevant information and suggests actions in the Arize platform,
automating complex tasks and taking actions to help AI engineers
save time and improve app performance. Examples where the AI
Copilot can help out of the box include getting model insights,
prompt optimization, building a custom evaluation, and AI
search.
"Using AI to troubleshoot complex AI systems is a logical next
step in the evolution of building generative AI applications, and
we are proud to offer Arize Copilot to teams that want to improve
the development and performance of LLM systems," said Aparna Dhinakaran, Chief Product Officer and
Co-Founder of Arize.
Other new workflows debuting today in the Arize platform promise
to help engineers find issues with LLM apps once they are deployed.
With AI search, for example, teams can select an example span and
easily discover all similar issues (i.e. finding all data points
where a customer is frustrated). Teams can then save those data
points into a curated dataset to apply annotations, run evaluation
experiments, or kick off fine-tuning workflows.
Altogether, the updates make Arize a powerhouse for
experimentation as well as production observability. Leveraging
Arize, AI engineers can make adjustments – editing a prompt
template, for example, or swapping out the LLM they are using – and
then see if performance across a test dataset decreases or there
are other impacts (i.e. around latency, retrieval, and
hallucinations) before safely deploying a change into
production.
About Arize AI
Arize AI is an AI observability and LLM
evaluation platform that helps teams deliver and maintain more
successful AI in production. Arize's automated monitoring and
observability platform allows teams to quickly detect issues when
they emerge, troubleshoot why they happened, and improve overall
performance across both traditional ML and generative use cases.
Arize is headquartered in Berkeley,
CA
Media Contact: David Burch,
press@arize.com
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SOURCE Arize AI