Starficient added the Meta Muse Spark 1.3 Contributor model to Pi without waiting for it to land in the default model catalog.

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๐—ง๐—ฟ๐˜† ๐—ก๐—ฒ๐˜„ ๐—™๐—ฟ๐—ผ๐—ป๐˜๐—ถ๐—ฒ๐—ฟ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€ ๐—ถ๐—ป ๐—ฃ๐—ถ ๐˜ƒ๐—ถ๐—ฎ ๐—ข๐—ฝ๐—ฒ๐—ป๐—ฅ๐—ผ๐˜‚๐˜๐—ฒ๐—ฟ ๐Ÿš€ Want to try new frontier models the moment they appear? Metaโ€™s ๐— ๐˜‚๐˜€๐—ฒ ๐—ฆ๐—ฝ๐—ฎ๐—ฟ๐—ธ ๏ฟฝโ€ฆ

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Company

Starficient

Above Efficient.

Industry
Computer and Network Security
Location
Dallas, US
Company size
2โ€“10 employees

About Starficient

Do you wish your applications were able to run as well as when you had your first launch? Imagine that fresh start, and immediate response! We will show you how without an established baseline for performance, is is so hard to quantify that things have gotten worse. Sure your users may complain, and often they donโ€™t. Can you trust critical business services to run without Application Performance Visibility? Application Performance Tuning Baseline normal application transactions Validate your runtime architecture Schedule periodic automated tests to confirm that you are operating within expectations Identify the bottlenecks in your application dependency graph

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