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Snowflake ropes in AI21’s Jamba-Instruct to help enterprises decode long documents
The hybrid nature of Jamba-Instruct makes it more economically accessible than other models of the same class on Snowflake.
Available starting today, the model will enable Snowflake’s enterprise customers to build generative AI applications (like chatbots and summarization tools) capable of handling long documents without compromising on quality and accuracy. The hybrid model provided users access to a massive 256K context window (the amount of data an LLM can take in to process) and activated just 12B of its 52B parameters — delivering not only a powerful but also an efficient solution at the same. This makes Jamba-instruct a highly powerful model for a variety of use cases related to extensive document processing such as corporate financial history, earnings call transcripts or lengthy clinical trial interviews,” Baris Gultekin, the head of AI at Snowflake, told VentureBeat.
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