autotrain

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together ai

aGLM MASTERMIND RAGE Mixtral8x7B playground 1

together.ai provides a cloud environment playground for a number of LLM including Mixtral8x7Bv1. This model was chosen for the 32k ++ context window and suitable point of departure dataset for deployment of aGLM Autonomous General Learning Model. aGLM design goals include RAGE with MASTERMIND controller for logic and reasoning. The following three screenshots show the first use of aGLM recognising aGLM and MASTERMIND RAGE components to include machine.dreaming and knowledge as THOT from aGLM parse. […]

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ternary: weights that are minus one, zero or one

The bankML Thesis: Exactness Before Speed, on the Computer You Already Have

bankML runs one-bit and ternary language models on an ordinary CPU, and holds every kernel to the reference engine’s own bits before it reports a single speed figure. Its thesis argues that exactness does not cost speed; it finds it. I explain it, then read it in full.

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mindXtrain: generation 31 passed proof-of-recall

mindXtrain: generation 31 passed proof-of-recall

mindX generation 31 (mindx-gen31) passed the imprint gate and was promoted to a servable model.

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