Deep Layer Knowing Neural Network (DLKNN) Model | Train it, Save it, and generate visualizations for both the Seed of Life and Flower of Life representations, along with a traditional neural network diagram.

Project Title: Deep Layer Knowing Neural Network (DLKNN) Introduction: The Deep Layer Knowing Neural Network (DLKNN) is an innovative project designed to explore the depths of human cognition, consciousness, and spiritual understanding through advanced machine learning and neural network architectures. This project integrates concepts from ancient wisdom, modern psychology, and cutting-edge AI technology to create…

Deep Layer Knowing Neural Network

The Deep Layer Knowing Neural Network hierarchically integrates levels of knowing, including Awareness, Recognition, Understanding, Intuition, Insight, Realization, Wisdom, and Enlightenment. Each layer builds on the previous, fostering continuous growth in intelligence and consciousness inspired by sacred geometry. To create a multi-dimensional layer neural network that includes all the levels of knowing, knowledge, consciousness, unknowing,…

Tokenizer Python Script for Sanskrit

Creating a tokenized Sanskrit Vedic dataset involves processing texts written in Sanskrit and breaking them down into smaller units, such as words or phrases. Here, I’ll provide an example of tokenizing a small excerpt from a Vedic text, the Rigveda. This example will demonstrate the tokenization process in Python using a simple approach. Here’s the…

Simple python script to fine-tune GPT 2.5

Fine-tune GPT-2.5 Create new file and save the contents below to train.py Change file path in the code below to where you want to save the gpt2.5-fine-tuned model and change the path to Hugging Face dataset InnerI/synCAI_144kda Start training by running: Data Card for synCAI-144k-gpt-2.5 (Hugging Face) # synCAI-144k-gpt-2.5 ## OverviewsynCAI-144k-gpt-2.5 is a large language…

CAI Consciousness Benchmark Dataset 10k for AI and Llama3 8b Fine-Tuning

CAI GPT DEV focuses on “Consciousness and AI,” offering expertise in consciousness studies, large language models (LLMs), and AI development. It answers questions about consciousness and guides dataset generation and fine-tuning for AI models, on philosophical, neuroscientific, and quantum aspects.

A quest to create InnerTAO a Bittensor ($TAO) Time-Series Prediction Subnet (TSPS).

README for Bittensor Time-Series Prediction Subnet (TSPS) 🛑 Under Development – @BeeChains on Replit âš  Introduction The Bittensor Time-Series Prediction Subnet (TSPS) is a state-of-the-art forecasting tool designed to predict the future trends of Bittensor ($TAO) and other financial markets, starting with Bittensor ($TAO) price movements. TSPS utilizes advanced machine learning techniques, specifically LSTM (Long…