The Next Big Trends in Large Language Model (LLM) Research
What are Multi-Modal LLMs capable of understanding?
Multi-Modal LLMs are capable of understanding and generating content across multiple modalities, including text, images, audio, and video6. They can perform complex tasks such as answering questions about images, converting text in images to different languages, and generating text or images based on multimodal inputs6.
How does OpenAI's Sora contribute to AI advancements?
OpenAI's Sora contributes to AI advancements by generating high-quality videos from textual descriptions using advanced transformer architecture and spacetime patches. It demonstrates a remarkable understanding of complex scenes, character emotions, and specific motions, showcasing the potential of AI in content creation, storytelling, and digital simulations.
What benchmarks does Gemini Ultra model excel in?
Gemini Ultra model excels in various benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks4. It is also the first model to achieve human-expert performance on the MMLU exam benchmark.