> Funding + Support -> Apply for Llama Startup Program by May 30 -> Vision<p>Feels a little backwards, no? Perhaps should have consulted Gemini.
Quick summary: Apply for up to $6K reimbursement per month for up to 6 months for Llama usage (wherever you use it). Incorporated startups with less than $10 million USD in funding are eligible. (disclosure: I work at Meta as Llama Partner Engineer)
> and may help to fund their use of Llama models.<p>I love open weight (and better open source) LLMs and wish Llama all the best! But God help Meta if they have to pay startups to entice them to use their open weights model.
This image in the article has a size of 3MB: <a href="https://scontent-vie1-1.xx.fbcdn.net/v/t39.2365-6/499353575_1401009174272603_3007119488904320268_n.png?_nc_cat=101&ccb=1-7&_nc_sid=e280be&_nc_ohc=KfbrXBIy_NAQ7kNvwH3cQFf&_nc_oc=AdkVzzOoAljWsYMRakaM0kvJzQfYfXU1M6-sdps2kYHL12I5eWHLhKeZhfLK40CH-sY&_nc_zt=14&_nc_ht=scontent-vie1-1.xx&_nc_gid=59dSMKilAfFkBKYmohnxLQ&oh=00_AfJO8EPlnIs9LbcebWqmvMEScNfG9vYIFE2QKg5-uy2IbQ&oe=684871D2" rel="nofollow">https://scontent-vie1-1.xx.fbcdn.net/v/t39.2365-6/499353575_...</a>
love it. any llm can be made to perform reliably and accurately which is the biggest pre-requisite when it comes to creating an "AI Agent". I think this gives people the opportunity to start somewhere because they can leverage multi-pass prompting frameworks like TSCE to scale: <a href="https://github.com/AutomationOptimization/tsce_demo">https://github.com/AutomationOptimization/tsce_demo</a>. despite the fact that "llama isn't the best"
My company qualifies for their criteria but Llama has been so bad compared to actual frontier models it doesn't seem worth it.<p>They should probably remove the restriction that you need to be incorporated and open it up to college students or something.