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
Category: Research Paper
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
Future of Work Report
The Rise of AI in Numbers One of the most striking trends is the immense increase in AI-related conversations and interests. LinkedIn recorded a 70% increase in AI discussions, with terms like “ChatGPT” and “Generative AI” gaining significant popularity. The workforce is at a turning point: Artificial Intelligence (AI) and specifically Generative AI (GAI) are… Continue reading Future of Work Report
Bert goes UltraFastBert
The development of language models in Artificial Intelligence (AI) has made impressive strides in recent years. Models such as BERT (Bidirectional Encoder Representations from Transformers) and GPT-3 (Generative Pre-trained Transformer 3) have stood out for their ability to process and generate natural language. These models often contain billions of parameters, which increases their performance but… Continue reading Bert goes UltraFastBert
Review: Navigating the Jagged Technological Frontier
The Impact of AI on Professional Tasks: An In-Depth Analysis of the Study “Navigating the Jagged Technological Frontier”About the Study and Its AuthorsIn the study “Navigating the Jagged Technological Frontier,” conducted in collaboration with the Boston Consulting Group, the impact of Large Language Models like GPT-4 on professional tasks is examined. This research provides deep… Continue reading Review: Navigating the Jagged Technological Frontier
„Levels of AGI: Operationalizing Progress on the Path to AGI“
The article “Levels of AGI: Operationalizing Progress on the Path to AGI,” authored by Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, and Shane Legg, addresses the classification and assessment of Artificial General Intelligence (AGI) and its precursors. The paper proposes a framework defining levels of AGI capabilities,… Continue reading „Levels of AGI: Operationalizing Progress on the Path to AGI“