Discover how Large Language Models (LLMs) are revolutionizing legal tech. Learn about generative & predictive AI in our latest blog post: https://lnkd.in/gch3BPJm #LegalTech #AI #eDiscovery
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🔍 #AI Insights: Understanding the Power of Context in AI! 🔍 In the realm of #ArtificialIntelligence, one of the key elements driving the advancement of language models is their ability to understand and utilize context. Context is what allows AI systems to discern the true meaning behind words, sentences, and even entire conversations, leading to more accurate and reliable outputs. Large Language Models
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Principal AI Scientist | Mentor | Cybersecurity | Instructor | Enterpreneur | ex Intel, ex Docusign
The data-centric machine learning paradigm was once the norm, but with the emergence of Chat GPT and other very Large Language Models, it seems that paradigm is slowly diminishing. As it turns out, less data can achieve more and the larger the model, the more fault tolerant it is to inconsistent data. #MachineLearning #AI
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Why small language models are the next big thing in AI https://lnkd.in/gMzjEtTZ #AI #bigdata #datascience #deeplearning #machinelearning #LLM #neuralnetworks #predictivemodels
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AI needs context. It's like fast food: Convenient, but not conscious. Here is a peculiar example from a talk on trust in technology and AI. AI models lacking context (also a matter of training) get it so wrong. That's an issue if we trust them enough to rely on. This case features Helsinki cathedral. Specifically, it deals with an automatic image captioning algorithm gone south... Now that ever more advanced LLMs (large language models) are emerging, issues like these may become subtler – but that also means errors may be harder to spot. #trust #ai #keynotespeaker #eventprofs
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Know about a new model of AI #freewilly #ai #artificialintelligencetechnology #artificialintelliegence
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Discover how data poisoning is impacting large language models (#LLMs) and what it means for the future of #AI. Nokia’s Rodrigo Brito dives into this critical issue and how it's being addressed. Explore now: https://lnkd.in/gFugsQVq
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🚀 Learn how RAG (Retrieval-Augmented Generation) systems are revolutionizing chatbot performance. Patryk Kowalski's latest blog explores why RAG is essential for accurate, efficient responses, surpassing the limitations of Large Language Models (LLMs) like GPT. Discover practical insights on implementing RAG effectively. 👉 Article: https://lnkd.in/dbNZCZEU #AI #Chatbots #RAG #LLM #TechInnovation
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Take a peek for a handful of practical, field tested tips about building RAG - written by me :)
🚀 Learn how RAG (Retrieval-Augmented Generation) systems are revolutionizing chatbot performance. Patryk Kowalski's latest blog explores why RAG is essential for accurate, efficient responses, surpassing the limitations of Large Language Models (LLMs) like GPT. Discover practical insights on implementing RAG effectively. 👉 Article: https://lnkd.in/dbNZCZEU #AI #Chatbots #RAG #LLM #TechInnovation
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Discover how data poisoning is impacting large language models (#LLMs) and what it means for the future of #AI. Nokia’s Rodrigo Brito dives into this critical issue and how it's being addressed. Explore now: https://lnkd.in/epDTzR8U
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Discover how data poisoning is impacting large language models (#LLMs) and what it means for the future of #AI. Nokia’s Rodrigo Brito dives into this critical issue and how it's being addressed. Explore now: https://lnkd.in/ddyBFijJ
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Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2wYou mentioned the release of two new local models from Google, which brings to mind the historical leaps made with each significant AI advancement, much like the transition from traditional computing to cloud-based systems. This continual innovation fosters greater adaptability and efficiency in applications. Considering this, how do you envision these models enhancing real-time data analysis compared to their predecessors? Could they offer more personalized and context-aware interactions for users in various sectors, such as healthcare or finance, by leveraging their localized processing capabilities?