Denis Rothman’s Post

Top 10 AI Tools https://lnkd.in/eH8evuHR AIJanno is a user-friendly website that offers a wide range of AI tools for everyone. Whether you are a beginner or a tech enthusiast, AIJanno simplifies complex AI concepts. Our website helps you easily understand and use AI, from image recognition to natural language processing. Perfect for students, professionals, or hobbyists, the AIJanno website provides easy-to-use resources and tutorials. Dive into the world of AI with confidence, as our platform makes advanced technology accessible to everyone. Join AIJanno today and learn how AI can transform your projects and ideas. #post #intelligence #artificialintelligence #ai #aitools #tools

Uncover the Future: Microsoft Autonomous AI Agents analyzing SAP Data Insights. As a professional in SAP, Data and AI, intimately involved with the latest developments in Microsoft Research, our focus has been keenly set on the advancements in Generative AI (GenAI) and Large Language Models (LLMs) such as GPT, Claude, Palm, and Llama. These groundbreaking technologies represent more than mere progress in natural language processing; They embody a paradigm shift in our approach to language generation and comprehension, propelled by the most recent achievements in artificial intelligence. This evolution signifies a transformative step... #techcommunity #azure #microsoft https://lnkd.in/gpGNaQ98

A recent study published on arXiv has demonstrated a significant milestone in AI development: GPT-4 successfully passed the Turing test. In controlled experiments, human participants were unable to reliably distinguish between responses generated by GPT-4 and those by humans, mistaking the AI for a human 54% of the time. This achievement underscores the rapid advancements in natural language processing and the potential for AI to engage in more human-like interactions. The implications for customer service, content creation, and beyond are substantial. As AI continues to evolve, it raises important questions about how we integrate these technologies into our daily lives and work environments. I’m excited about how these advancements can be harnessed to improve business processes and drive innovation. Let's discuss how AI can be a game-changer for your business. 🔗 The study can be found here: https://lnkd.in/dwrPf6e6 #BusinessGrowth #AIinBusiness #TechSolutions #CustomerExperience #Innovation

🚀 Discover the Future of Generative AI: Gemini Advance vs. Chat GPT-4.0! 🚀 As a Data Scientist, I'm always exploring the latest advancements in AI to stay ahead of the curve. Recently, I delved into the capabilities of Gemini Advance and compared it with Chat GPT-4.0 to see which one stands out in our rapidly evolving field. 🔍 What's Inside: A comprehensive comparison of Gemini Advance and Chat GPT-4.0 Insights into their unique features and performance My personal take on which model excels and why If you're passionate about Generative AI and eager to know which model I prefer, check out my latest article on Medium: https://lnkd.in/gyiwKG79 I would love to hear your thoughts and experiences with these models! Feel free to share your insights and let's spark a conversation about the future of AI. #GenerativeAI #MachineLearning #ArtificialIntelligence #TechTrends #AIResearch

29% of organizations have deployed and are actively using GenAI, according to a survey conducted by the, management consulting firm Gartner, Inc. in the fourth quarter of 2023. The survey involved 644 participants from the United States (U.S.), Germany, and the United Kingdom (U.K.). This makes GenAI the most widely deployed AI solution, surpassing other techniques such as graph techniques, optimization algorithms, rule-based systems, natural language processing, and other forms of machine learning. Read more: https://lnkd.in/dD63wXUE #AI #GenAI #ArtificialIntelligence #AItools #AIsolutions #TechnologyNews

🚀 Excited to share insights from #Day 4 of 360 📚 Today, I read an interesting article on Towards Data Science titled "Can Large Language Models (LLMs) Be Used to Label Data?" The article discussed the important aspects of using LLMs for data labeling and provided a comprehensive overview of the topic. 🔍 After reading the article, I have gained a better understanding of the role LLMs can play in enhancing data labeling processes as annotators. The idea of a majority voting approach got me interested, and it highlighted the potential for LLMs and human annotators to work together to achieve accurate labels 💡 The article I read introduced me to two innovative approaches for using LLMs in labeling tasks. These approaches are called zero prompting and few-shot prompting, and they highlight the versatility and adaptability of LLMs in addressing different labeling needs. Overall, reading the article gave me a better understanding of the potential of LLMs in natural language processing. 🌟 As we navigate the evolving landscape of AI and data annotation, insights like these are invaluable for enhancing efficiency and precision in data labeling workflows. Looking forward to applying these learnings in real-world scenarios! #DataLabeling #AI #TowardsDataScience #360DaysLearning 🌐

🤖 Unlocking the Wonders of Artificial Intelligence! 🚀FutureTech Unveiled" Tech Insights Blog for Beginners! 🚀 Within the scope of my blog on new technologies, we are embarking on an exciting exploration of Artificial Intelligence. Over the next month, we will strive to briefly uncover the essence of this captivating concept and its impact on our lives and businesses. We will explore the various types of AI, delve into machine learning and deep learning, discuss the applications of natural language processing and computer vision, and examine the ethical considerations surrounding AI technologies. Additionally, we will spotlight AI's impact on specific industries and cover essential AI terminology. We are living in a period of incredible technological transition, and the future will undoubtedly depend on our understanding and utilization of these innovations. Join us on this enlightening journey as we unravel the complexities and potential of AI. Stay tuned for valuable insights and engaging discussions! #ArtificialIntelligence #AIExploration #FutureTech"

🚀 Exploring the Frontiers of AI with Retrieval-Augmented Generation (RAG) Models 🚀 In the ever-evolving landscape of artificial intelligence, the emergence of Retrieval-Augmented Generation (RAG) models represents a significant leap forward. Combining the power of language understanding with the depth of knowledge retrieval, RAG models are setting new benchmarks in AI's ability to generate informative, accurate, and contextually relevant responses. What sets RAG models apart is their unique architecture, which integrates a neural network with a vast database of information. This allows them to retrieve and leverage external knowledge to enhance their output, making them particularly effective for applications requiring deep factual knowledge or detailed explanations. 🔍 Why RAG Models Matter🔍 1)Enhanced Accuracy and Relevance: By pulling in data from external sources, RAG models can provide more accurate and relevant answers than ever before. 2)Versatility Across Industries: From customer service bots to research assistants, RAG models are proving their worth across various domains by providing precise information tailored to the query at hand. 3)Pushing the Boundaries of Natural Language Processing: The integration of retrieval mechanisms within generative models represents a significant step in making AI understand and generate human-like text. As we stand on the brink of what could be the next revolution in AI, it's clear that RAG models are not just an incremental improvement but a foundational shift that could redefine our interaction with technology. I'm excited to see where this journey takes us and how RAG models will continue to transform industries, enhance productivity, and perhaps most importantly, deepen our understanding of AI's potential to augment human capabilities. #AI #MachineLearning #DeepLearning #RAG #Innovation #TechTrends

Can we train AI to be creative? One lab is testing ideas Researchers are exploring ways to train AI to be creative by leveraging human intuition through large language models (LLMs). Two new studies from Jeff Clune's lab at the The University of British Columbia present Intelligent Go-Explore (IGE) and OMNI-EPIC systems, both utilizing LLMs to guide AI exploration and creativity. IGE uses GPT-4 to select promising states and actions, enhancing AI's problem-solving abilities, while OMNI-EPIC generates new tasks for AI, creating a curriculum of increasing complexity. These advancements could lead to AI applications in drug discovery and other fields, although experts caution about the risks of open-ended AI development. Read more here: https://lnkd.in/gh9E7Dtx #AI #ArtificialIntelligence #MachineLearning #Creativity #Technology #AIResearch #LLM #ReinforcementLearning #AIExploration

Completed this course “Introduction to Prompt Engineering for Generative AI”. Found it very interesting, especially the Text to Image conversion using Dall-E2 and Midjourney. Check it out: https://lnkd.in/gYEuCQHE #generativeai #naturallanguageprocessing.