This project is a technical curriculum and development guide focused on large language model prompt engineering, fine-tuning, and the creation of retrieval augmented generation applications. It serves as a comprehensive resource for developers to master crafting precise instructions and textual patterns to improve the quality and predictability of model outputs. The material covers the end-to-end workflow of adapting open-source models to specific datasets and integrating language models with vector databases to generate responses based on private information. It also provides a systematic ap
Open-source red teaming framework for MLLMs with 42+ attack methods
ECCV 2024 BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
EventHallusion is the first benchmark that focuses on the evaluation of event hallucinations in Video LLMs. This repository includes the code and benchmark data of our paper "EventHallusion: Diagnosing Event Hallucinations in Video LLMs", by Jiacheng Zhang, Yang Jiao, Shaoxiang Chen, Jingjing…
The main features of stevetich/eventhallusion are: Evaluation Benchmarks.
Open-source alternatives to stevetich/eventhallusion include: pyspur-dev/pyspur. datawhalechina/prompt-engineering-for-developers — This project is a technical curriculum and development guide focused on large language model prompt engineering,… ai45lab/openrt — Open-source red teaming framework for MLLMs with 42+ attack methods. ailab-cvc/seed-bench — (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions. albertwy/gpt-4v-evaluation — Data for evaluating GPT-4V. aifeg/benchlmm — [ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models.
