Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
Great read. it’s similar observations with leading AI transformation for a very large EPCM.
There’s still ways to manage it but the core principles stated in this essay ring true.
trying to figure out why it’s taking so long for companies to adopt AI into their work processes. especially EPCMs.
i’ve got a complete architecture that i plan on building within the azure ecosystem. i think it’ll be tough as it seems the only companies successfully doing this is with Palantir and their army of FDEs servicing their clients.