LLM: BLIP-2 Enhances Conversations
Large language models (LLMs) such as ChatGPT have become increasingly prevalent, finding integration into major search engines like Bing and Google. However, their limitation lies in their sole reliance on text, lacking any visual understanding of the world. Enter multi-modal models, a recent innovation that combines text and images, enabling richer and more immersive conversations. Today marks an exciting milestone as support for BLIP-2 is added to 🤗 Transformers. Developed by Salesforce, BLIP-2 represents a state-of-the-art vision and language model capable of engaging in conversations involving images. This advancement promises to transform the way we interact with AI, bridging the gap between textual and visual comprehension. BLIP-2 builds upon open-source large language models such as OPT by AI at Meta and Flan T5 by Google, leveraging their collective knowledge to outperform even the impressive 80-billion parameter Flamingo model showcased by Google DeepMind just a year ago. With BLIP-2, users can expect more nuanced and contextually rich interactions, as demonstrated by its ability to comprehend concepts like mass-energy equivalence, as evidenced in the provided example. This development represents a significant leap forward in the realm of AI-powered conversations, offering unprecedented capabilities in understanding and interpreting visual content. As multi-modal models continue to evolve, we can anticipate even greater strides in enhancing the depth and richness of AI interactions across various domains.