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Welcome! This site is built on a deep belief in the power of people, their potential, and the transformative possibilities of technology. As an interactive platform for enthusiasts of Human Resources Management, Talent Management, Organisation Development, Psychology, and Artificial Intelligence, it navigates the complexities and massive opportunities inherent in these areas.
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This site has news relevant to professionals and brief articles on various Human Resources themes; however, there are nine subpages that need access. There will also be a forum for people interested in Human Resources. So, on the main page, you’ll only see a fraction of what’s available.
The main purpose here is to offer an engaging platform for exploration, learning, and discussion of the latest trends and advances in these disciplines. Present news in the five noted key areas. This is the right place for HR professionals seeking the news and innovative talent acquisition strategies, organisational development specialists in search of effective change approaches, psychologists keen on the interplay of human behaviour and work dynamics, and tech enthusiasts exploring how artificial intelligence revolutionises these sectors.
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The journey through the dynamic landscapes of Human Resources Management, Talent Management, Organisation Development, Psychology, and Artificial Intelligence is best taken together.
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Last updated: April 19, 2024 at 11:11 am
Latest news
MIT News - Artificial intelligence
Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions — essentially, high-level representations of complex concepts that skip less-important details — and thus sputter when asked to do more sophisticated tasks.Luckily, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
AWS Machine Learning Blog
Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. Llama2 by Meta is an example of an LLM offered by AWS. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in
AWS Machine Learning Blog
Imagine harnessing the power of advanced language models to understand and respond to your customers’ inquiries. Amazon Bedrock, a fully managed service providing access to such models, makes this possible. Fine-tuning large language models (LLMs) on domain-specific data supercharges tasks like answering product questions or generating relevant content.
In this post, we show how Amazon Bedrock and Amazon SageMaker Canvas, a no-code AI suite, allow business users without deep technical expertise to fine-tune and deploy LLMs.
AWS Machine Learning Blog
Organizations often offer support in multiple languages, saying “contact us for translations.” However, customers who don’t speak the predominant language often don’t know that translations are available or how to request them. This can lead to poor customer experience and lost business. A better approach is proactively providing information in multiple languages so customers can access it directly. This leads to more informed, satisfied, and included customers.
In this post, we share how we identified these
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