Jiva.ai

The Common Data Platform is a collection of digital assets and data generated from the Health Innovation Accelerator programme, to accelerate and compliment data and processes from the GM Secure Data Environment (SDE). It forms one of two cross-cutting themes that span across the Health Innovation Accelerator programme, with the aim of the Common Data Platform being to use data from across the programme to better understand and improve health outcomes in at-risk populations in Greater Manchester, alongside testing the onboarding of new digital assets and tools. Find out more about how the Platform is contributing to our work with partners, as we work to improve the diagnosis and treatment of disease across Greater Manchester: https://bit.ly/3BOuD7m Our key partners working across the Common Data Platform (CDP) are: 🤝 Manchester University NHS Foundation Trust 🤝 The University of Manchester 🤝 Innovate UK 🤝 NHS Greater Manchester 🤝 Graphnet Health 🤝 BCN 🤝 Jiva.ai #weareHInM #GM #data #innovation #healthcare #tech

Top 60 AI Tools You Must Not Miss ! 1. Video: Tools like Descript, Veed, and Canva transform how we create and edit video content with powerful AI-driven features. 2. Design: Platforms such as Canva, Namecheap, and Dribbble leverage AI to simplify design processes, making professional layouts and graphics more accessible. 3. Writing: AI writing assistants like ChatGPT, Grammarly, and Notion AI enhance writing quality and efficiency, offering everything from grammar checks to content creation. 4. Chatbot: Solutions like ChatGPT and Tidio incorporate advanced AI to power conversational agents that can engage users and automate interactions. 5. Marketing: Tools like Madgicx and AdCopy utilize AI to optimize advertising strategies and content creation, tailoring marketing efforts to target audiences. 6. Productivity: Increase your efficiency with AI tools like Pencil and Semrush, which automate and refine tasks ranging from project management to SEO analysis. [Explore more in the post] If you found this helpful don’t forget to save this for later and comment your thoughts. Join my newsletter or send me a DM "Newsletter” for more posts like this. Source 🙏 Denis Panjuta #ChatGPT #chatbots #chatgpt4 #chatgpt3 #GenerativeAI ‪#MachineLearning‬ #‪ML‬ #ArtificialIntelligence #AI ‪#FutureofWork‬

We’re thrilled to welcome two amazing new team members to our family! 🎉 Meet Neha Patel: A neuroscience grad with a flair for problem solving. She also brings experience from her time in pharma sales. Neha joins us as a data scientist and will be working on a number of client projects as well as general development on the Jiva platform. 🎉 Say hello to Suliman Belal: Suliman has several years of experience in data science and an avid academic. He will be working on advancing the Jiva platform and building solutions in ongoing projects such as that recently announced with RAIQC. His expertise in coding and commitment to excellence will be a fantastic addition to our team. Join us in giving Neha and Suliman a warm welcome! We can’t wait to see the incredible contributions they’ll make. Let’s make some great perceptrons together! 🎊

Are you still deciding whether or not AI is something you can use in your business? "Klarna today (Tuesday) said that it could halve its workforce to around 2,000 employees by leveraging AI technology. The Swedish tech giant said its AI assistant was now carrying out the work of 700 employees, reducing the time it takes to fix problems from 11 minutes to two minutes." https://lnkd.in/ePZd98YX

1 trillion tokens, 3.4 billion images - we are NOT running out of data anytime soon?! 🤔 Training Large Multimodal Models (LMMs) requires vast amounts of diverse data that seamlessly combines text and images. But so far, open-source datasets have been lagging behind. MINT-1T is a new open-source dataset that's not just bigger, but also more diverse than anything we've seen before. It includes previously untapped sources like PDFs and ArXiv papers. With 10 times more data - yes, TEN times - than the previous leading dataset OBELICS, MINT-1T is a treasure trove for researchers and developers working on multimodal AI. The best part? LMMs trained on MINT-1T perform just as well as those trained on proprietary datasets. This levels the playing field and democratizes access to cutting-edge multimodal AI technology. But NOW we'll surely run out of high quality data, right? Who knows. So far, we've mostly picked the long-hanging fruits. Don't get me wrong, such concerns ARE valid, especially when it comes to data quality. But I also think that we're underestimating how much can still be done in order to get more and better data. ↓ Liked this post? Join my newsletter with 35k+ readers that breaks down all you need to know about the latest LLM research: llmwatch.com 💡