π #AI-generated #radiology reporting is hard. "This gap suggests that prior models in report generation still have significant room for improvement in creating high-quality reports that are useful to radiologists."
https://t.co/xA1ImeQDo6
#GenAI#GenerativeAI#LLM
Using computer vision techniques, the robot analyzed each frame of video and was able to identify the different objects and features.
In the future, robots will be able to learn human behaviors just by watching videos.
Unity CEO John Riccitello knows a thing or two about games.
He has driven the mobile transformation in games the last 17 years.
He said generative AI in games a 10x transformation that will drive exponential growth.
What an insane week in AI π€―
Unity AI
AI Antibiotic
Minecraft AI
MIT: Math AI
Picture-to-3D
Google Starline
Nvidia Game AI
Google Flood AI
ChatGPT in Court
TIME: Humanity End
Neuralink FDA Approval
42% US Not Used ChatGPT
Japan No Copyright OK for AI
Here what you need to know:
8. Perplexity Copilot
Perplexity released Copilot. Itβs a different way to search with GPT-4 than the current buggy implementation of ChatGPT browsing.
The best part? it offers GPT-4 free.
The pace of AI remains insane π€―
All these announcements in the last 7 days:
Zapier AI
Bard Images
Mind to Video
Google AI Ads
Photoshop Fill
Bing x ChatGPT
Windows Copilot
Perplexity Copilot
DragGAN Image AI
Google SoundStorm
Here's everything you need to know:
Kids are making $25K/month with digital products.
But most people don't know how.
So I built 170+ Digital Product ChatGPT prompts to help you make money too.
Normally $39, but next 24 hrs, it's FREE!
To get it:
1. Follow me (so I can DM you)
2. RT this tweet
3. Reply "SEND"
Tree of Thoughts framework enables models to consider multiple reasoning paths, self-evaluate choices, & look ahead/backtrack when needed, significantly improving the problem-solving capabilities of language models over CoT.
arXivπhttps://t.co/coKqg3exE8
#AI#GenerativeAI#LLM
A fascinating tree of GPTs and LLMs reveals whatβs been going on
A good description of encoder-only, decoder-only, and encoder-decoder models and why decoder-only architectures are winning.
https://t.co/Woss2bDVfA
#GenerativeAI#GenAI#GPT4#ChatGPT#LLM
Training Your Own LLM using privateGPT
TL;DR privateGPT not ready for production (issues: slow inferencing and memory hog)
https://t.co/s3mE42Ybkf
#GenerativeAI#GenAI#privateGPT#LLM
3/
Speaking of #AutomationBias, hereβs a @radiology_rsna article just published yesterday highlighting why this is so important.
"Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance"
https://t.co/h0sS4lYdHF
#RadAIchat
Shutout to my pathologist buddy who got woken up by his pager only twice in residency.
First time he was paged by mistake, second time the pager rang because it had low battery.