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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๐ง๐ฟ๐ ๐ก๐ฒ๐ ๐๐ฟ๐ผ๐ป๐๐ถ๐ฒ๐ฟ ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐ถ๐ป ๐ฃ๐ถ ๐๐ถ๐ฎ ๐ข๐ฝ๐ฒ๐ป๐ฅ๐ผ๐๐๐ฒ๐ฟ ๐ Want to try new frontier models the moment they appear? Metaโs ๐ ๐๐๐ฒ ๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๏ฟฝโฆ
Company
Starficient
Above Efficient.
- Industry
- Computer and Network Security
- Location
- Dallas, US
- Company size
- 2โ10 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 donโt. 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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