Fueling the generative AI craze is a belief that the tech industry is on a path to achieving superhuman, god-like intelligence. OpenAI’s stated mission is to create this artificial general intelligence, or AGI. Demis Hassabis, the leader of Google’s AI efforts,has the same goal. ...
In this paper, we propose the first fully generative goal-driven simulator that is fully induced from data, without hand-crafting or goal annotation. Our goals are latent, and take the form of topics in a topic model, clustering together semantically equivalent and phonetically confusable strings...
Direct preference optimization: Your language model is secretly a reward model.Rafailov et al.arXiv 2023. [Paper] Raft: Reward ranked finetuning for generative foundation model alignment.Dong et al.arXiv 2023. [Paper] Is reinforcement learning (not) for natural language processing?: Benchmarks,...
aThe present generative model for bass riffs and guitar melodies sheds light into some aspects of musical creativity, but it is only a small step towards the goal of a comprehensive understanding of human musicianship. 当前生产模型为低音即兴重复段和吉他曲调棚子光到音乐创造性里的有些方面,但它是仅...
The commoditisation of AI has been driven by Large Language Models (LLMs), which are a class of generative AI. While this group will not exclusively focus on GenAI, it is likely that many of the use cases we explore will be based on this technology. ...
Declaration of generative AI and AI-assisted technologies in the writing process Generative AI and AI-assisted technologies are not used in the writing process. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could...
Microsoft’s lightweightPhi-4-multimodal AI model handles speech, text, and video By Anirban Ghoshal Feb 27, 20254 mins Generative AI video What is LLVM? | The compiler infrastructure explained Feb 21, 20256 mins Python video What is software bill of materials? | SBOM explained Feb 18, ...
To address this challenge, we propose an adaptive approach that integrates active learning (AL) and iterative feedback to refine property predictors, thereby improving the outcomes of their optimization by generative AI agents. Our method leverages the Expected Predictive Information Gain (EPIG) ...
Generative AI can make some workers a lot more productive, according to this studyflip.it/CtTR7_ About 2 years agofromLaura Martin's Twitter Recommended Reads: Contact LMM … Get In Touch Name* Email* Contact Number Message* Name Submit...
Evaluating the alignment of LLM outputs with Shannon Vallor's 12 techno-moral values presents a unique approach to embedding ethical considerations into AI systems. Here are the benefits of using the Falcon-evaluate Machine_ethics module for LLM output evaluation: Enhanced Ethical Oversight The module...