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Let’s talk confidently about how to select the perfect LLM companion for your project. The AI landscape is buzzing with LargeLanguageModels (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. They excel at crafting captivating content, translating languages, and summarizing information.
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GPT-3 can create human-like text on demand, and DALL-E, a machinelearningmodel that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
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How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificialintelligence is transforming Voice of the Customer (VOC) research for product teams.
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Read more » The post How to build machinelearning-based products appeared first on Mind the Product. In this article, written for product managers, data scientists, and engineering teams we cover some growth areas and ideas on how to achieve more impact while working on building ML-based products. [.]
More evidence this week of the impact of artificialintelligence (AI) on the tech job market as Workday revealed it is shedding 1,750 jobs – 8.5% of its workforce – because the company is restructuring and looking to AI for growth and efficiency gains. Workday CEO Carl Eschenbach disclosed the layoffs in an SEC filing.
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Pretty much all AI/ML customer and transactional models have been on pause for the last few months. As we speak, history is being written… Continue reading on Becoming Human: ArtificialIntelligence Magazine ».
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Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
Since its launch in 2017, DeepL, a global communications platform powered by Language AI, has experienced exponential growth, making the Cloud 100 list for two years in a row. Most recently, the company raised $300m at a $2 bn valuation.
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For our core business like cameras, plugs, and bulbs, we’re investing in internal innovation, especially artificialintelligence. We’re pushing the boundaries of computer vision and machinelearning. We’re pushing the boundaries of computer vision and machinelearning.
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The company took the strategic decision to heavily invest in artificialintelligence and now uses AI to help Office users be more productive. [1] To ensure that the right technologies are applied, you’ll benefit from using a technology strategy. Let’s take Microsoft as an example again.
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