Introducing BioAI-001:

The Next Evolution in Biomedical Text Analysis

A fine-tuned version of BioGPT-Large by Microsoft. The model achieves better-than-human performance on answering questions on biomedical literature.

Introduction

Welcome to the future of biomedical text generation and mining. Building upon the groundbreaking work of BioGPT, we are thrilled to present BioAI-001, the pinnacle of domain-specific AI for the biomedical sector. Born from the robust architecture of BioGPT-Large and fine-tuned to perfection, BioAI-001 stands as a testament to the power of modern AI in revolutionizing the biomedical field.

BioGPT's initial success was rooted in its pre-training on an expansive 15 million PubMed abstracts, setting new benchmarks across multiple biomedical natural language processing tasks. Now, with BioAI-001, we've taken that foundation and elevated it, ensuring even more precise, accurate, and insightful outputs.

Whether you're delving into relation extraction tasks, seeking answers from PubMedQA, or simply aiming to generate fluent, coherent descriptions for biomedical terms, BioAI-001 is your trusted companion. It's not just an AI; it's a leap forward for biomedical professionals and researchers worldwide.

Resources
BioGPT Research Paper
BioGPT GitHub Data
PocketAI - Get BioGPT-Large (a biomedical AI) on WhatsApp

BioGPT-Large

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PocketAI - Get BioGPT-Large (a biomedical AI) on WhatsApp
BioGPT-Large by Microsoft achieves better-than-human performance on answering questions from biomedical literature, as evaluated on PubMedQA.

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ChatGPT is an AI-powered chatbot platform developed by OpenAI, a research lab originally founded by Sam Altman and the likes of Elon Musk. It uses natural language processing (NLP) to understand and respond to user queries. It is based on the Generative Pre-trained Transformer 3 (GPT-3) model and GPT-4, which is the largest natural language model ever created. GPT-4 is trained on an unprecedented amount of data and can generate accurate and human-like responses to free-form queries. This makes it incredibly powerful for automating customer service tasks and pretty much any other operation.
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