The publication “Mathematical discoveries from program search with large language models” was authored by Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, and Alhussein Fawzi and published in the journal Nature. In their publication, the authors present… Continue reading Solving Problems with FunSearch and LLMs
Month: December 2023
Extraction of GPT training data
The article “Scalable Extraction of Training Data from (Production) Language Models” by Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Eric Wallace, Florian Tramèr, and Katherine Lee examines how training data can be extracted from language models. The authors focus on identifying training data stored in large… Continue reading Extraction of GPT training data
MS starts Copilot with GPT 4.0
Using ChatGPT 4.0 for Free Microsoft now makes this possible! Microsoft has introduced a new app called “Copilot” for Android devices, which allows free access to ChatGPT 4.0. This app is independent of the Bing mobile application and is available in the Google Play Store. An iOS version is still under development. Main features of… Continue reading MS starts Copilot with GPT 4.0
GAIA-1: GWM for autonomous driving
The Article: “A Generative World Model for Autonomous Driving” published on September 29, 2023, is a result of collaborative research by Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, and Gianluca Corrado, all associated with Wayve, an organization in the field of autonomous driving. Study Objective The study titled… Continue reading GAIA-1: GWM for autonomous driving
EmotionPrompt Technique
Artificial Intelligence (AI) is on the cusp of a remarkable development: the integration of emotional intelligence into Large Language Models (LLMs) such as ChatGPT and GPT-4. A study by Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, and Xing Xie titled “Large Language Models Understand and Can… Continue reading EmotionPrompt Technique
Auto-Instruct: Instruction Generation
The article “Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models” was authored by a research team consisting of Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, and Meng Jiang. These researchers dedicated their efforts to enhancing the efficiency of large language models (LLMs) by optimizing… Continue reading Auto-Instruct: Instruction Generation
Instruction Tuning and the Tuna Model
In the world of Artificial Intelligence (AI), language models play a central role. These models, known as Large Language Models (LLMs), have the potential to conduct human-like conversations and answer complex queries. But how can the effectiveness of these models be further enhanced? A key lies in the so-called “Instruction Tuning”. What is Instruction Tuning?… Continue reading Instruction Tuning and the Tuna Model
Superalignment Fast Grants by Open AI
Superalignment Fast Grants: A $10 Million Initiative by OpenAI Introduction to Superalignment Fast Grants OpenAI announces the launch of the “Superalignment Fast Grants,” a substantial $10 million grant program aimed at fostering technical research on the alignment and safety of superhuman AI systems. This program is a response to the imperative need for new breakthroughs… Continue reading Superalignment Fast Grants by Open AI
RunWayML goes GWMs
In today’s technological landscape, the development of AI-powered platforms plays a pivotal role. A groundbreaking innovation in this realm is the introduction of Stable Video Diffusion on the Stability AI Developer Platform API. This foundational model for generative video marks a milestone in digital video creation and is tailored for sectors like advertising, marketing, TV,… Continue reading RunWayML goes GWMs
Mistral goes Unicorn
Mistral – The Rising French Unicorn in the AI Sector Introduction to Unicorns and the Open-Source Movement In the dynamic startup world, “unicorn” refers to privately held companies achieving a valuation over one billion US dollars. Originating in 2013, this term symbolizes the rarity and success of such companies, often in disruptive and innovative fields… Continue reading Mistral goes Unicorn