10 Promising GPT-4 Open-Source Alternatives in Natural Language Processing (NLP)
GPT-4 Remains Closed, but Open-Source Alternatives Emerge
While GPT-4 remains inaccessible to most researchers and businesses, exciting open-source large language models are making waves in the world of natural language processing (NLP).
Researchers and startups are releasing open-source, free-to-use multimodal models, which are capable of performing a wide range of tasks. These models have shown impressive performance on multimodal tasks such as optical character recognition (OCR), visual question answering (VQA), and object detection.
LLaVA: A Rising Star in Open-Source Generative AI
One particularly promising open-source alternative to GPT-4 is LLaVA (Large Language and Visual Assistant), a multimodal model developed by Microsoft. LLaVA has demonstrated strong performance on a variety of NLP tasks, including text generation, translation, and image captioning.
The open-source community is actively contributing to the development of LLaVA, with a recent release (LLaVA 15) showing significant improvements in performance.
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