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Generative AI: This technology has seen rapid growth and is expected to continue evolving. Generative AI has reached a phase where it’s accessible to hobbyists and is moving towards more practical applications in everyday life1. Multimodal AI: AI that can understand and generate content across different modes, such as text, images, and sounds, is becoming increasingly important1. Smaller Language Models: There’s a shift towards more efficient language models that are easier to use and more accessible to the public1. AI in Recruitment: AI is expected to play a significant role in enhancing the candidate experience, with personalized interview questions and assessments tailored to individual candidates2. Video Interviewing Tools: Sophisticated AI tools that analyze facial expressions, tone of voice, and other non-verbal cues are becoming more prevalent in recruitment software3. AI Ethics and Regulation: As AI becomes more integrated into various sectors, there’s a growing focus on governance, ethical concerns, and the development of policies to make AI more trustworthy and sustainable1.
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