In the ever-evolving landscape of artificial intelligence, medical named entity recognition (NER) is a powerful tool that helps extract meaningful information from clinical texts. This guide will walk you through how to employ the fine-tuned DeBERTa-MED-NER-2 model,...
Getting Started with Thanabordeeopenthaigpt-1.0.0-13b-chat-Q3_K_S-GGUF
Welcome to your comprehensive guide on utilizing the Thanabordeeopenthaigpt-1.0.0-13b-chat-Q3_K_S-GGUF model. This tutorial will help you transform your text generation experience using the advanced capabilities of this model. What is...
How to Use the CodeLlama Model for Text Generation
In the ever-evolving landscape of artificial intelligence, the CodeLlama model stands out as a revolutionary tool for text generation. By leveraging the capabilities of the transformers library, specifically the CodeLlama-7b-Instruct model, users can seamlessly...
Text-Based Reasoning About Vector Graphics
🌐 Homepage • 📃 Paper • 🤗 Data (PVD-160k) • 🤗 Model (PVD-160k-Mistral-7b) • 💻 Code Introduction Have you ever been puzzled by how some large multimodal models (LMMs) struggle with even the simplest visual reasoning tasks? Imagine trying to navigate a maze while wearing...
A Framework for Fuzz Target Generation and Evaluation
In the vast cosmos of programming, where bugs lurk like asteroids waiting to collide with our code, a new framework has emerged to shine a light on these lurking threats. This framework, designed for generating fuzz targets for real-world CC++, Java, and Python...
Getting Started with the GTE-Small GGUF Model
The GTE-small model is a powerful tool for generating text embeddings, primarily focused on applications like information retrieval, semantic textual similarity, and text reranking. Using this model effectively can seem daunting at first, especially with its various...
How to Utilize GGUF-IQ-Imatrix for Enhanced Multimodal Capabilities
Welcome to an insightful journey into the world of GGUF-IQ-Imatrix quantization! In this article, we’ll explore how to effectively use this model, which boasts remarkable multimodal functionalities, especially around vision. If you’re a developer or an AI enthusiast...
How to Utilize Grok-1 GGUF Quantizations in Your Projects
The Grok-1 GGUF Quantizations offer developers the ability to harness powerful models using llama.cpp with ease. In this guide, we’ll walk you through the steps to get started, troubleshoot potential issues, and provide insights into this exciting development....
Unlocking LLM2Vec: A Guide to Powerful Text Encoding
In the world of natural language processing, the need for effective text encoding is paramount. Enter LLM2Vec, a tool that allows us to convert decoder-only large language models (LLMs) into powerful text encoders. This guide will walk you through the steps of...








