How OpenAI is approaching 2024 worldwide elections
We’re working to prevent abuse, provide transparency on AI-generated content, and improve access to accurate voting information.
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Enhancing Language Model Alignment through Reward Transformation and Multi-Objective Optimization
The current study examines how well LLMs align with desirable attributes, such as helpfulness, harmlessness, factual accuracy, and creativity. The primary focus is on a two-stage process that involves learning a reward model from human preferences and then aligning the language model to maximize this reward. It addresses two key issues: Improving alignment by considering…
AI News Weekly – Issue #445: – Jun 13th 2025
ByWeb Dev
Powered by AI Weekly’s future : would you support an ad-free version of this newsletter? typeform.com Welcome AI Weekly’s future : would you support an ad-free version of this newsletter? Dear AI Weekly Readers, After more than five years and over 450 weekly issues, we’re taking a step back to ask an important question: Where…
Google Research Introduces TimesFM: A Single Forecasting Model Pre-Trained on a Large Time-Series Corpus of 100B Real World Time-Points
Time Series forecasting is an important task in machine learning and is frequently used in various domains such as finance, manufacturing, healthcare, and natural sciences. Researchers from Google introduced a decoder-only model for the task, called TimeFM, based on pretraining a patched-decoder style attention model on a large time-series corpus comprising both real-world and synthetic…
AWS Research on Specializing Large Language Models: Leveraging Self-Talk and Automated Evaluation Metrics for Enhanced Training
In user-centric applications like personal assistance and customer support, language models are increasingly being deployed as dialogue agents in the rapidly advancing domain of artificial intelligence. These agents are tasked with understanding and responding to various user queries and tasks, a capability that hinges on their ability to adapt to new scenarios quickly. However, customizing…
This AI Paper from the University of Washington Proposes Cross-lingual Expert Language Models (X-ELM): A New Frontier in Overcoming Multilingual Model Limitations
Large-scale multilingual language models are the foundation of many cross-lingual and non-English Natural Language Processing (NLP) applications. These models are trained on massive volumes of text in multiple languages. However, the drawback to their widespread use is that because numerous languages are modeled in a single model, there is competition for the limited capacity of…
Enhanced Audio Generation through Scalable Technology
Technological advancements have been pivotal in transcending the boundaries of what’s achievable in the domain of audio generation, especially in high-fidelity audio synthesis. As demand for more sophisticated and realistic audio experiences escalates, researchers have been propelled to innovate beyond conventional methods to resolve the persistent challenges within this field. One primary issue that has…
