**Company: University of Cambridge Job Description Summary: Applications are sought for a Research Associate position at the University of Cambridge in the Department of Computer Science and Technology. The role involves working on learning-based discovery of robot task/environment designs. Candidates must have a PhD in Computer Science or a STEM related subject, strong analytical skills, and substantial experience in machine learning. The position is initially for 1 year, with potential for renewal. Applicants must apply online and quote reference NR41682. The University promotes equality, diversity, and inclusion. All employees must be eligible to work in the UK. Job Description: Location: West Cambridge Fixed-term: The funds for this post are available for 12 months in the first instance. Applications are invited for a Research Associate to join the Prorok Laboratory in the Department of Computer Science and Technology, at the University of Cambridge, UK. The Prorok Laboratory has a variety of robotic platforms (aerial and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies. Our recent work on ML-based co-optimization demonstrates some of our key research directions relevant for this position. The role holder will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). There will also be… opportunities to contribute to international collaborative projects with other universities as well as industry. Candidates must hold (or be near to completion) a PhD in Computer Science or a STEM related subject and have an ability to present their research. Strong analytical skills and substantial experience in machine learning at scale are required. Detailed information on the requirements for the role can be found in the further particulars. The position is available for 1 year in the first instance, with opportunities for renewal on a yearly basis. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. To apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/46529. Further information may be obtained by contacting Professor Amanda Prorok: proroklab.org/wp Please quote reference NR41682 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and reimbursement for the cost of the first visa
Company:University of Cambridge
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
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Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
