A scalable framework for evaluating multiple language models through cross-domain generation and hallucination detection.

Large language models (LLMs) have significantly advanced in recent years, greatly enhancing the capabilities of retrieval-augmented generation (RAG) systems. However, challenges such as semantic similarity, bias/sentiment, and hallucinations persist, especially in domain-specific applications. This paper introduces MultiLLM-Chatbot, a scalable RAG-based benchmarking framework designed to evaluate five popular LLMs GPT-4-Turbo, CLAUDE-3.

Deep learning techniques for observing the impact of the global warming from satellite images of water-bodies.

Global warming is a threat to modern human civilization. There are different reasons for speed up the global average temperature. The consequences are catastrophic for human existence.