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While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or dataplatforms, meaning that the PIM just becomes another data silo.
As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional naturallanguageprocessing (NLP)-based analytics.
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Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.
Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.
The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for naturallanguageprocessing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.
The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for naturallanguageprocessing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.
The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for naturallanguageprocessing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.
The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for naturallanguageprocessing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.
They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. So in building the platform, they had to focus on one or two pressing needs and build requirements around them. .
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