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