what ai tool and prompts they using to get this level of perfection?
submitted by /u/wtf_nabil [link] [comments]
submitted by /u/wtf_nabil [link] [comments]
Language models can generate text and reason impressively, yet they remain isolated by default.
Language models prompted with a user description or persona are being used to predict the user’s preferences and opinions. However, existing approaches to building personas mostly rely on a user’s demographic attributes and/or prior judgments, but not on any underlying reasoning behind a user’s judgments. We introduce PB&J (Psychology of Behavior and Judgments), a framework …
Read more “Improving Language Model Personas via Rationalization with Psychological Scaffolds”
Under the Hood of NVIDIA and Palantir Turning Enterprise Data into Decision Intelligence On Tuesday, October 28 in Washington, DC, NVIDIA founder and CEO Jensen Huang announced our partnership and how we’ll be making NVIDIA models available through Palantir AIP — and pushing Ontology to the edge through NVIDIA’s accelerated compute. “Palantir and NVIDIA share a vision that …
This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi for their collaboration. Organizations today face the challenge of processing large volumes of audio data–from customer calls and meeting recordings to podcasts and voice messages–to unlock valuable insights. Automatic Speech Recognition (ASR) is a critical …
Read more “Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR”
Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work. The challenge: Giles AI is a London-based startup that helps healthcare and life sciences organizations …
Read more “The Blueprint: How Giles AI transforms medical research with conversational AI”
In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction. The 114-year-old tech giant’s four new Granite 4.0 Nano models, released today, range from just 350 million to 1.5 billion parameters, a fraction of …
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated diffraction and data preparation modules enable unprecedented speed and efficiency for AI tasks. Demonstrations in imaging and trading showed improved accuracy, lower latency, and reduced power demand. This …
Read more “Breakthrough optical processor lets AI compute at the speed of light”
When it comes to estimating how good we are at something, research consistently shows that we tend to rate ourselves as slightly better than average. This tendency is stronger in people who perform low on cognitive tests. It’s known as the Dunning-Kruger Effect (DKE): The worse people are at something, the more they tend to …
Read more “AI use makes us overestimate our cognitive performance, study reveals”
I altered the workflow a little bit from my previous post (using Hearmeman’s Animate v2 workflow). Added an int input and simple math to calculate the next sequence of frames and the skip frames in the VHS upload video node. I also extracted the last frame from every sequence generation and used a load image …