@OfficialLoganK https://t.co/pazfHAj96G A web app for the most beautiful cemetery of Europe: Kirchhof Stahnsdorf, close to Berlin. Positions of interest, who is buried where, collections, ... Unaffordable for the institution to buy such an app, two days of work with Antigravity
AI can predict public opinion by modeling the media diets of population subgroups. By fine-tuning language models like BERT on news & media consumed by specific groups, researchers could accurately predict their survey responses on issues like COVID-19.
https://t.co/RdtU0ykYCA
I'm gone for 12 hours and OpenAI just tossed the whole world upside down again 🤯
Even though I'm keeping up with all the Generative AI progress, Sora is such a big jump in video generation capabilities that it feels unreal.
Time for a mega thread 🔽
Example of LLM coupled with action: 'Coscientist,' a GPT-4 powered AI for autonomous chemical research. It merges internet search, coding, and automation to expedite experiments, like reaction optimization
https://t.co/DJrpYRe4O6
AI (ChatGPT, DALL-E) has lower CO2 emissions than humans in writing/illustrating. ChatGPT emits 1100x less CO2 per text page than a US resident, DALL-E 2500x less. Intriguing insight into AI's environmental impact. https://t.co/dSgqNnzhi0
Prompt engineering vs. model fine-tuning: A new study reveals GPT-4 outperforms specialized models like BioGPT & Med-PaLM in medical benchmarks using clever prompting. Shows the power of 'generic' models with the right prompts.
https://t.co/BFB3CkKyiQ
Very technical & impressive visualization and explanation of how large language models compute their answers.
Worth clicking through the overview (using nano-gpt), which by itself is already impressive, & then on GPT-3 to see the difference in scale.
https://t.co/JdLLih0pui
#llm
🚨 BREAKING: Google DeepMind just revealed Gemini- ChatGPT's biggest competitor.
Gemini is the FIRST multimodal AI to outperform human experts on the MMLU, scoring over 90%.
Separating quantum computing hype from reality is tough. Prof. Juliane Krämer, a cryptography expert, estimates 20-50 years for significant practical application. Big physics challenges remain (source in German)
https://t.co/8P3ovnWCtz
Commonwealth Bank of Australia explores generative AI for 'synthetic customers' to test new products. Sparse on details. My guess: defining customer groups, detailing them, then asking an AI their take on new offerings.
https://t.co/WA9SOiJ6Br
#Banking#generativeai
@markopolojarvi @HochreiterSepp@bifoldberlin GPT4 was 100 million, wasn't it? He says the 300 million are the total, and wants to increase model size step by step
@HochreiterSepp presented xLSTM at @bifoldberlin 's AI symposium, outperforming transformers like GPT on small datasets. Next: train on bigger data, but needs 300M€ & European support to keep the tech local. Would back it if I could! #generativeai