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Hippocraticai

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Health language model, pre-trained for compassion.
Generated by ChatGPT

Hippocratic AI is an Artificial Intelligence (AI) tool for healthcare that pre-trains on trusted, evidence-based content, unlike most language models that pre-train on the common crawl of the internet, which can contain incorrect and misleading information.

The tool is a state-of-the-art (SOTA) model that outperforms GPT-4 on 105 out of 114 healthcare exams and certifications. The aim of Hippocratic AI is to improve healthcare access, equity, and outcomes by providing safe Language Learning Models (LLMs) for healthcare.

The tool focuses on the thousands of other applications for LLMs in healthcare, where bedside manner and compassion are crucial. To ensure the model's readiness for deployment, Hippocratic AI conducts a unique Reinforcement Learning with Human Feedback process using healthcare professionals to train and validate the model.

Hippocratic AI will not release the model until a large number of licensed healthcare professionals deem it safe. The tool is created for healthcare by healthcare professionals, including physicians, hospital administrators, payor experts, and AI researchers that have come from esteemed institutions like El Camino Health System, Johns Hopkins Hospital, Washington University in St.

Louis, The University of Pennsylvania, Stanford, Google, and Nvidia. The AI tool has been incubated and funded by two of the best healthcare investors, with $50MM raised in a seed round.

Hippocratic AI is committed to creating an objective evaluation system for developing a compassionate and caring healthcare-focused LLM and releasing the first of many bedside manner benchmarks in the coming months.

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Hippocraticai was manually vetted by our editorial team and was first featured on June 20th 2023.
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25 alternatives to Hippocraticai for Large Language Models

Pros and Cons

Pros

Pre-trained on evidence-based content
Outperforms GPT-4 in healthcare
Aims to improve healthcare access
Promotes healthcare equity and outcomes
Safe language learning models
Unique reinforcement learning process
Validated by licensed healthcare professionals
Created by healthcare professionals
From esteemed healthcare institutions
Funded by prominent investors
Raises bedside manner benchmarks
Focuses on compassion in healthcare
$50MM raised in seed round
Team with variety of experts
Exclusive focus on healthcare
Impressive performance on exams
High margin of outperformance
Investment in legally acquiring content
First safety-focused LLM
Addresses thousands of healthcare applications
State-of-the-art (SOTA) model
Model's deployment safety guaranteed
Committed to creating evaluation system
Emphasis on emotional well-being
Objectivity in performance measures
Open with results and benchmarks

Cons

Limited to healthcare applications
Restricted pre-training data
Requires healthcare professional validation
Deployment delay possible
Niche user group
Delayed bedside manner benchmarks
No evident scalability
No language options indicated
Lack of transparency in RLHF-HP process
Bound by healthcare legalities

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