Workers designated as “trainers” asynchronously pull samples from the shared buffer. They use the AdamW optimiser and perform a single PPO inner step for each batch of B samples, with CISPO as our loss type.
As AI world models like Meta’s Joint-Embedding Predictive Architecture (JEPA) became more sophisticated, “there was a reorientation of Meta’s strategy where it had to basically catch up with the industry on LLMs and kind of do the same thing that other LLM companies are doing, which is not my interest,” says LeCun. “So sometime in November, I went to see Mark Zuckerberg and told him. He’s always been very supportive of [world model research], but I told him I can do this faster, cheaper, and better outside of Meta. I can share the cost of development with other companies … His answer was, OK, we can work together.”
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def builtin_causal_attention(Q, K, V):
1vim.api.nvim_create_autocmd('PackChanged', { callback = function(ev)