Freaks City

Model Preparation There are several reliable methods to download pre-trained models: ModelScope (recommended for fast download speeds and includes many restricted models) Hugging Face mirror sites (requires model access permisions) Public cloud storage resources (use tools like XShell for faster uploads) Dataset Preparation Two primary datase ...

Hallucinations in large language models refer to the generation of content that is not factual, consistent, or grounded in provided context or world knowledge. This phenomenon is often categorized into two types: context hallucinations, where outputs conflict with source material, and extrinsic hallucinations, where outputs are fabricated witho ...

Steps Below we introduce fine‑tuning, a common technique in transfer learning. As illustrated in the following diagram, fine‑tuning consists of four steps. Pre‑train a neural network model (the source model) on a source dataset, e.g., ImageNet. Create a new neural network (the target model). It replicates all model design and parameters from t ...

Modern natural language processing (NLP) increasingly treats diverse tasks as sequence-to-sequence generation problems. Rather than restricting models to classification or extraction, we can frame nearly any NLP task—summarization, correction, translation—as generating a target text from an input text. This paradigm shift enables more flexible ...

Initial Approach with Fine-Tuning Attempted fine-tuning using internal nursing knowledge documents to create a specialized model. The process involved: Segmenting Word documents into logical chunks Generating Q&A pairs using text-davinci-003 Training a custom model with OpenAI's fine-tuning API Document Segmentation Code import docx impor ...