GitHub

Ming-UniVision: Joint Image Understanding and Geneation with a Continuous Unified Tokenizer

🌐 Ming-UniVision is a groundbreaking multimodal large language model (MLLM) that unifies vision understanding, generation, and editing within a single autoregressive next-token prediction (NTP) ...
GitHub

A collaborative LLM system that uses OpenAI and Google Gemini to iteratively refine prompts until both models agree on the quality.

Promptizer implements a sophisticated prompt refinement system where two independent Large Language Models (OpenAI GPT-4 and Google Gemini) work together to progressively improve a user-provided ...
IEEE

FrogDogNet: Fourier Frequency Retained Visual Prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing

Abstract: In recent years, large-scale vision-language models (VLMs) like CLIP have gained attention for their zero-shot inference using instructional text prompts. While these models excel in general ...
blockchain

8 Anti-Prompts That Boost ChatGPT, Claude, and Gemini Output: Latest Guide for AI Prompt Engineering

According to God of Prompt on Twitter, implementing specific constraints—what not to do—when prompting AI models like ChatGPT, Claude, and Gemini significantly increases output quality. After two ...