— Evaluators gave chatbot the better rating for responses to patient queries by a nearly 4:1 ratio

The artificial intelligence (AI) chatbot ChatGPT outperformed physicians when answering patient questions, based on quality of response and empathy, according to a cross-sectional study.

Of 195 exchanges, evaluators preferred ChatGPT responses to physician responses in 78.6% (95% CI 75.0-81.8) of the 585 evaluations, reported John Ayers, PhD, MA, of the Qualcomm Institute at the University of California San Diego in La Jolla, and co-authors.

The AI chatbot responses were given a significantly higher quality rating than physician responses (t=13.3, P<0.001), with the proportion of responses rated as good or very good quality (≥4) higher for ChatGPT (78.5%) than physicians (22.1%), amounting to a 3.6 times higher prevalence of good or very good quality responses for the chatbot, they noted in JAMA Internal Medicine. — Read More

Key Takeaway: Published writers can ask ChatGPT to emulate their style by referencing existing work; anyone can submit samples of their own writing for emulation, or you can simply describe a style using plain language.

ChatGPT can generate excellent text on virtually any subject, but by default, it has a very bland (and obvious) tone. Instead of editing that text into your own style to use it, you can simply teach ChatGPT your style instead. Read More

Landing AI’s Visual Prompting capability is an innovative approach that takes text prompting, used in applications such as ChatGPT, to computer vision. The impressive part? With only a few clicks, you can transform an unlabeled dataset into a deployed model in mere minutes. This results in a significantly simplified, faster, and more user-friendly workflow for applying computer vision.

Traditionally, building a natural language processing (NLP) model was a time-consuming process that required a great deal of data labeling and training before any predictions could be made. However, things have changed radically. Thanks to large pre-trained transformer models like GPT-4, a single API call is all you need to begin using a model. This low-effort setup has removed all the hassle and allowed users to prompt an AI and start getting results in seconds.

Similarly to what has happened in NLP, large pre-trained vision transformers have made it possible for us to implement Visual Prompting. This approach accelerates the building process, as only a few simple visual prompts are required. You can have a working computer vision system deployed and make inferences in seconds or minutes; this will benefit both individual projects and enterprise solutions. Read More

“GPTs are General Purpose Technologies”1, but every GPT needs a killer app. Personal Computing needed VisiCalc, the smartphone brought us Uber, Instagram, Pokemon Go and iMessage/WhatsApp, and mRNA research enabled rapid production of the Covid vaccine.

One of the strongest indicators that the post GPT-3 AI wave is more than “just hype” is that the killer apps are already evident, each >$100m opportunities:

• Generative Text for writing – Jasper AI going 0 to $75m ARR in 2 years
• Generative Art for non-artists – Midjourney/Stable Diffusion Multiverses
• Copilot for knowledge workers – both GitHub’s Copilot X and “Copilot for X”
• Conversational AI UX – ChatGPT / Bing Chat, with a long tail of Doc QA startups

The user reviews for Snapchat’s “My AI” feature are in — and they’re not good. Launched last week to global users after initially being a subscriber-only addition, Snapchat’s new AI chatbot powered by OpenAI’s GPT technology is now pinned to the top of the app’s Chat tab where users can ask it questions and get instant responses. But following the chatbot’s rollout to Snapchat’s wider community, Snapchat’s app has seen a spike in negative reviews amid a growing number of complaints shared on social media.

Over the past week, Snapchat’s average U.S. App Store review was 1.67, with 75% of reviews being one-star, according to data from app intelligence firm Sensor Tower. For comparison, across Q1 2023, the Snapchat average U.S. App Store review was 3.05, with only 35% of reviews being one-star. Read More

… Web LLM is a project from the same team as Web Stable Diffusion which runs the vicuna-7b-delta-v0 model in a browser, taking advantage of the brand new WebGPU API that just arrived in Chrome in beta.

I got their browser demo running on my M2 MacBook Pro using Chrome Canary, started with their suggested options:

/Applications/Google\ Chrome\ Canary.app/Contents/MacOS/Google\ Chrome\ Canary --enable-dawn-features=disable_robustness

Read More

AI is stepping up every day, and it’s getting insane.
This time the curveball named Auto-GPT is here, the smarter and sassier version of ChatGPT.

And while I am curious to know whether it will replace many jobs, I still feel it will facilitate many, if we keep up with it. But it’s getting scary fast. Read More

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