AxiaLM 1 Mini ======================== AxiaLM is the most advanced local AI on scratch. It uses a Recurrent Neural Network with GRU Gates to achieve true AI. It is fully trainable and customizable natively on scratch. ======================== Official Specs: - 209,949 Parameters - 1,245 Nodes - 1 Hidden Layer - 128 Hidden Nodes - Learning Rate: 0.015 - 59 Tokens/sec (TurboWarp) - GRU Gates - Activation Function: GeLU - Backpropagation and Gradient Descent ======================== Usage: AxiaLM is an agent available for anyone to use. In order to use it, you must first enter training data into the training data list, in this format: sentence <EOS> It is also HIGHLY recommended that you train in TurboWarp, it literally gives 50x the speed. You may also use the original model. However, credit is required by pasting this exact sentence in your instructions and/or notes and credits; "This project uses AxiaLM as an AI agent from @SmallRations." ======================== Notes: AxiaLM is a true AI, so expect errors. Every response can be different, so there is a try again button if it doesn't seem right. It has only been trained on 20 sentences, so the things you can ask it are: water boils at --> one hundred degrees celsius the moon orbits --> the earth if it rains --> the ground gets wet the answer to three times three --> is nine the earth orbits --> the sun once per year all dogs are animals --> but not all animals are dogs the capital of france --> is paris a square --> has four equal sides the sun rises in the east --> and sets in the west two multiplied by five --> equals ten if a is greater than b and b is greater than c --> then a is greater than c ice is the --> solid form of water five minus three --> equals two the triangle has three sides --> and three angles prime numbers are only divisible by --> one and themselves product of two and three --> is six opposite angles in a parralelogram --> are equal every even number greater than two --> is the sum of two primes It supports very limited abstract reasoning, for example if you ask it "if it rains" it'll reply with "the ground gets wet". Later models will show more depth in reasoning, but this still counts. ======================== Credits: @-Rex- | Pen Font Engine++ https://wikipedia.com | Info. about GeLU and GRUs https://claude.ai | Helped dumb down concepts to me tags:
