**Company: Oxford Medical Simulation Limited Job Description Summary: Oxford Medical Simulation Limited is seeking a Senior candidate with 5+ years of experience. The ideal candidate should have experience in deploying ML models at scale in a cloud based infrastructure, proficiency in python and experience with ML libraries and API tools. Job Description: Qualifications: …fine-tuning etc) Experience: ~3+ years experience training and deploying ML models at scale in a cloud based infrastructure ~ Proficient in python, with experience in ML libraries (e.g. PyTorch, TensorFlow, Scikit-Learn etc) and API tools (e.g. FastAPI, Django etc) ~ Experience…
Company:Oxford Medical Simulation Limited
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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.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
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.
