Summarize:
Large Language models have recently become significantly popular and are mostly in the headlines. GPT-4, which was recently released in March 2023, is one of the most well-known transformer models. It is the technology behind the famous ChatGPT developed by OpenAI. The chatbot can generate textual information and imitate humans in question answering. After the great success of GPT 3.5, GPT-4 is the latest milestone in scaling up deep learning and generative Artificial Intelligence. 

Unlike the previous version, GPT 3.5, which only lets ChatGPT take textual inputs, the latest GPT-4 is multimodal in nature, which means it accepts text and images as input. Another such model called LLaMA (Large Language Model Meta AI) was released by Meta AI in the month of February 2023. With 13B parameters, the researchers behind LLaMA’s development mentioned how the model’s performance on most NLP benchmarks exceeded the much greater 175 B GPT-3. The largest model was even competitive with state-of-the-art models such as PaLM and NAME_1.

Now comes Vicuna, an open-source chatbot with 13B parameters, developed by a team from UC Berkeley, CMU, Stanford, and UC San Diego and trained by fine-tuning LLaMA on user-shared conversations. The conversations have been collected from ShareGPT via public APIs. ShareGPT is a chrome extension that allows users to share their previous ChatGPT conversations with others with only one click. Vicuna has been created by simply fine-tuning the base model of LLaMA. It has used about 7 Add stress words which are capitalized. Limit those stress words for less than 8 times.
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