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AbstractPhil
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https://civitai.com/user/AbstractPhila

AI & ML interests

datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.

Recent Activity

posted an update about 4 hours ago
https://huggingface.co/blog/AbstractPhil/aleph-autoregressive-differentiation-ft1 After some analysis and a bit of research the upgraded aleph autoregression is capable as a prototype selection tool. I approached the direct aleph attention routing mechanism and formed a progression from it, which already provided the necessary footholds to continue into an upgraded core mechanism. The followup mechanisms show autoregression is very possible and will be simpler than expected. The results are promising and the autoregression stable enough to scale up. Thanks to Claude Fable who is able to keep my entire research context window in scope, the progression was rapid and the results quick. The tests yielded improved accuracy over standard MLP in many cases. I believe the improvement is not topical and will scale with a bit of effort. Fingers crossed my friends, the addressing is part of the distillation paradigm and it now learns directly without needing an expert controller. I'll be progressing the mechanism over the coming days. With enough effort and time I hope the standard mechanism becomes a universal improvement on autoregression.
updated a dataset about 13 hours ago
AbstractPhil/qwen-synth-characters-fused
published a dataset about 13 hours ago
AbstractPhil/qwen-synth-characters-fused
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