2023 APIs Chatbots Healthcare 
AWS Machine Learning
APRIL 29, 2024
Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. arXiv preprint arXiv:2308.04014 (2023).
AWS Machine Learning
APRIL 8, 2024
RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Pre-training data is sourced from publicly available data and concludes as of September 2022, and fine-tuning data concludes July 2023. Choose Deploy again to create the endpoint.
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AWS Machine Learning
SEPTEMBER 1, 2023
Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. 15K available FM reference Step 1.
JivoChat
APRIL 23, 2023
Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?
AWS Machine Learning
FEBRUARY 6, 2024
Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems. QnABot version 5.4+
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