**Company: AUCTA GmbH Job Description Summary: AUCTA, a startup founded in Berlin and Madrid in 2019, aims to help industrial companies leverage their CAD data beyond the engineering department. They are currently looking for experienced sales hunters to help grow their customer base and propel the company forward. The Sales Development Representative role includes identifying leads, building customer relationships, refining sales strategies, and more. Qualified applicants should have prior B2B sales experience, German language proficiency, and a proactive working style. Benefits of joining AUCTA include working with talented individuals in the web technologies space, contributing to a multinational startup, remote work options, and opportunities for career growth. Applicants are encouraged to submit their CV, motivation, and earliest possible starting date to be part of AUCTA’s journey into making capturing and sharing skills more intuitive and easy. Job Description: As a startup founded in Berlin and Madrid in 2019, AUCTA aims to enable industrial companies to leverage the value of their CAD data beyond the engineering department. AUCTA makes creating and deploying 3D visualizations as simple as building a PowerPoint presentation. We are looking for experienced and highly skilled sales hunters to help us grow our base of happy customers and help AUCTA reach the next stage as a company. Aufgaben As Sales Development Representative of AUCTA your responsibilities are: Identifying relevant leads and building customer relationships early in the funnel Helping to make AUCTA’s sales and growth strategy more sustainable Being a deciding factor in our journey from 1 to 100. Trying, evaluating and refining sales hypotheses and channels Qualifikation A relevant applicant brings: Prior B2B / Enterprise Sales Experience (more than 2 years preferred) German language proficiency + English basic business proficiency Proactive working style towards tangible results Highly motivated and engaged attitude Benefits What to expect from us: Work with some of the smartest people in the web technologies space who push the boundaries of what’s possible day by day. Active contribution to the success of an early-stage multinational B2B SaaS Startup. The possibility to work from where you are, while you will have the opportunity to choose to work from our offices in the centers of Berlin and Madrid. Great career path towards taking responsibility and becoming a key member of the team in the future. We are looking forward to receiving your application incl. a CV, some context to your motivation as well as your earliest starting date. Let’s make capturing and sharing skills more intuitive and easy - together at AUCTA!
“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.
