Amazon SageMaker AI has launched two new UI templates: Text Ranking and Question and Answer. The Text Ranking template allows human annotators to evaluate and rank multiple language model responses based on criteria like relevance and clarity. This ranked feedback aids in model refinement through Reinforcement Learning from Human Feedback (RLHF). The Question and Answer template enables the creation of high-quality Q&A pairs from provided text passages, which serve as demonstration data for Supervised Fine-Tuning (SFT). The blog details how to set up these templates in the SageMaker AI console, providing step-by-step instructions for creating labeling jobs. Both templates are designed to enhance dataset quality for training language models, aligning outputs more closely with human preferences. Additionally, an API allows programmatic job setup. Overall, these new tools aim to improve the efficiency and effectiveness of training processes while supporting the development of advanced generative AI solutions.

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AI tools are transforming daily life by automating tasks and potentially reclaiming up to 110 minutes of free time each day, according to research from Lloyds Bank. This promise of increased leisure is appealing, especially amidst a hectic lifestyle filled with work and family commitments. However, the benefits seem disproportionately favor high earners, as 99% of those making over £100,000 value additional time, compared to 86% of the general population. While 60% of respondents express a willingness to adopt new technologies for time-saving, affluent individuals are far more likely to utilize advanced AI tools. The study highlights household chores and financial management as primary time drains, with nearly half of respondents citing chores as their biggest burdens. Although accessible technologies like banking apps are widely used, advanced AI tools often come with high costs or require skills that many lack, raising concerns about equitable access to time-saving innovations.

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On February 14, 2025, the First Instance Court of Nanterre, France, mandated a company to halt the deployment of several artificial intelligence (AI) tools until it completes proper consultations with its Works Council. The court found that the company’s claim of being in a “pilot phase” was inaccurate, as the tools were already in use by employees, constituting actual implementation. This ruling underscores the significance of respecting employee representation rights amid workplace digital transformations, signaling that premature implementation of AI tools disrupts Works Council prerogatives. The case establishes a crucial precedent in France for the consultation procedures that companies must follow before introducing new AI technologies. It also relates to the EU AI Act, which categorizes AI systems based on risk levels and outlines specific obligations for high-risk systems, including risk management, transparency, and regulatory cooperation, as well as requirements for general-purpose models related to documentation and risk evaluations.

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