Armand Ruiz

Stanford University's Center for Research on Foundation Models is the leading authority on evaluating AI models. Proud to see IBM's Granite model do so well in their recent Foundation Model Transparency Index. IBM Granite model is ahead of OpenAI's GPT-4, Google Gemini and Microsoft Phi-2. We believe openness drives innovation and trust. Worth considering as you choose an enterprise AI partner. https://ibm.biz/Bdmgzv

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e-Book: Generative AI Ecosystem and Application Landscape It is evident that the fear of missing the Generative AI wave of market opportunity has fueled a spike in investment to pre-train large frontier models in house. However, the savvy enterprise should focus on fine tuning and reinforcement learning to teach AI algorithms to behave with current data. To learn more on Intel's AI solutions: https://ai.intel.com/ #GenAI #IntelAI #AIeverywhere #IntelXeon

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AI is reshaping landscapes, altering industries and transforming our lives and work. With its rapid advancement, it's also causing disruption — for better or worse — in every field imaginable. While it promises efficiency and growth, AI also brings challenges and uncertainties that professionals and businesses must navigate. What can one do to pivot if AI is disrupting their industry? Authority Magazine turned to Reggie Townsend for the answers: http://2.sas.com/6041iPQUL. #TrustworthyAI #ArtificialIntelligence

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OpenAI’s Sam Altman Predicts Superintelligent Machines by 2025! In a bold declaration, OpenAI CEO Sam Altman forecasts the dawn of Artificial General Intelligence (AGI) as early as 2025. Altman asserts that the path to AGI is “basically clear,” framing it as an engineering challenge poised for imminent conquest. Link to the interview witb YC: https://lnkd.in/gDt2CBeY Contrasting this optimism, Dario Amodei, CEO of Anthropic, urges caution. He emphasizes the complexities and potential risks of advanced AI, advocating for a measured approach to ensure alignment with human values. As the race toward superintelligent AI intensifies, the tech world stands at a pivotal crossroads between rapid innovation and responsible development. I personally want to thank Lex Fridman, thank you for asking such insightful questions and providing valuable insights. These conversations are crucial in discussing AI safety and the potential role of AGI in shaping the future of society.

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Microsoft researchers Sebastien Bubeck and Ronen Eldan have developed #PHI-3, a groundbreaking family of small yet powerful language models. Designed for efficiency and high performance, PHI-3 models can be deployed on everyday devices, making advanced AI more accessible than ever. #PHI-3 models offer significant improvements in speed and efficiency, enabling AI integration into more consumer devices and enhancing user experiences. Compared to larger models, PHI-3 demonstrates competitive capabilities while being more resource-efficient. The future looks bright for PHI-3, with ongoing research promising even more powerful capabilities for a broader range of devices. This innovation is set to reshape the AI landscape! More in the Turing Post - PHI-3 Article: https://lnkd.in/dX4XXFMC #AI #MachineLearning #LanguageModels #Microsoft #Innovation #Tech #ArtificialIntelligence #PHI3 #SebastienBubeck #RonenEldan

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Are LLMs better than humans at financial forecasting? In very interesting research, "Financial Statement Analysis with Large Language Models" by Alex G. Kim, Maximilian Muhn, and Valeri V. Nikolaev, they explored the ability of large language models (LLMs) to perform financial statement analysis, a task typically done by human analysts. The study found that the LLM outperformed human analysts in predicting the direction of future earnings, with an accuracy of 60% compared to 53% for human analysts. They also found that the LLM's predictions were complementary to those of human analysts and that the LLM tended to perform well when human analysts struggled. The immediate takeaways? Every finance team should be using LLMs to augment their financial forecasting process. And AI-based forecasting will only continue to improve, while human accuracy will not.

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AI isn’t just a trend — it’s a way of doing business. And the data backs it up. In a new survey of 800 senior managers at large firms, 72% are using generative AI at least once a week, double the number from just last year. And the real story? It’s not just about the technology. Companies are investing heavily in people. About 1/3 of AI spending goes to technology. The rest is invested in upskilling, onboarding, and consulting. AI adoption isn’t just in tech departments anymore. It’s spreading across Marketing, Sales, Operations, HR, and more, with Marketing seeing a tripling in adoption since 2023. Even better, 90% of leaders say AI enhances employee skills, and concerns about job replacement are slowly fading. If you’re not thinking about how to get your teams ready for AI, now is the time. Ask yourself: - How can I invest in my team’s AI knowledge? - What processes in my department could benefit from AI? - How will my team’s roles evolve with AI in the picture? It’s not just about having the best tools. It’s about having people ready to use them. *Source: Wharton AI & Analytics Initiative - keep up the great work! (See link in comments) --------------------------------------------- I'm on a mission to share responsible AI insights with leaders around the world to help unlock inertia. The best thing we can all do is to be generous with our knowledge -- and lessons learned. Join me. If you found this post helpful, pass it along. ♻

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Looking forward to great discussion on this critical topic! #GenerativeAI #largelanguagemodels #artificialintelligence #airevolution

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It’s becoming increasingly clear that traditional RAG implementations fall short of unlocking the full potential of LLMs in large enterprises. The intricate and interconnected nature of enterprise data demands RAG systems that can effectively 'connect the dots' to deliver superior insights. Graph RAG is emerging as a powerful solution. Read this full article from one of our own experts in this space Sarah Bacha #genai #llm #rag #ai #knowledge_graph Converge Technology Solutions Corp.

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With all of the hype around AI, it's hard to separate fact from fiction. Booz Allen Hamilton is here to help with the release of the Modern Artificial Intelligence Primer. As the number one provider of AI to the federal government, we are to help with you gain the right foundational knowledge to accelerate your #AI adoption and transformation! The Modern Artificial Intelligence Primer is an essential technical guidebook for leaders and practitioners who want to learn more about all facets of #AI. This newly published report provides a deep dive into #GenerativeAI, multimodal AI, and other innovations transforming our world. Download The Modern Artificial Intelligence Primer today! Find it here: https://lnkd.in/gKrYmArT Congrats to my brilliant colleagues on publishing this report: Catherine Ordun Alexa Hoffman, MBA Edward Raff Alison Smith Patrick Biltgen Bryan Castle Drew Farris Kate Helfet Matthew Keating Chu Lahlou Justin Neroda Ryan Swope John Conley

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Organizations have insufficient technical capabilities for the speed and scale of their ML model implementations. My colleague Sumit Agarwal just published a very helpful research with a capability view and sample vendors for defining a modular, flexible and scalable MLOps solution. https://lnkd.in/gnB_T9bq #MLOps #LLMOps #AI

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Working with generative #AI tools like Microsoft #Copilot is a dynamic and interactive process. Fortunately, you don't have to be a computer scientist to get the most out of AI. Three basic steps for giving instructions make it as easy as ASKing for what you need: 1️⃣ Action: Start by explaining what you want the AI tool, like Microsoft Copilot, to do. 2️⃣ Style: Describe the format or presentation you prefer for the AI's response. 3️⃣ Key details: Provide additional context about your preferences, interests, or situation to help AI provide more personalized and relevant responses. The more details you give, the better response you'll get. Instead of treating AI like a search engine, try interacting with it like you do a colleague. You might be surprised at the quality of the answers you get when you just ASK:

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Embracing a product mindset has helped some companies maximize revenue from digital products. Discover key findings in a recent study on how AI impacts product-focused innovation. #AI #Product #Agile https://ibm.biz/BdmfFr

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The Rise of Generative AI Driven Design Patterns: insightful article from Connor Joyce delving into the potential applications and value of native genAI enabled design pattern use cases, and how they transform traditional patterns. Solid read. #product #genAI #ai #productmanagement #designpatterns #AIUX #UX #productdesign

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I just published a new blog on how we are seeing many architectures for intelligent organizations use the same pattern of combining LLMs and Knowledge Graphs. I use the metaphor of Convergent Evolution to illustrate these points. Looking for feedback! #LLM #GenAI #KnowledgeGraphs #EnterpriseKnoweldgeGraphs #Evolution #Metaphor #AI #IntelligentOrganizations #BiologyInspired

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In times of radical change, great leadership becomes more crucial than ever. The recent AI advancements we’re witnessing are both exhilarating and daunting, reshaping our industry landscape at an unprecedented pace. These transformative times call for leaders who can navigate uncertainty, inspire innovation, and foster a culture of adaptability. It’s about striking the right balance between embracing cutting-edge technology and maintaining a human-centric approach. I’m reminded daily of the impact of exceptional leadership. A quick shoutout to the leaders and peers that trail blaze new paths along with us - your trust and guidance have been instrumental in helping our team navigate these exciting yet challenging times. Your leadership style embodies the kind of forward-thinking approach that’s essential in this AI-driven era. What leadership qualities do you think are most crucial as we sail into this new AI-powered future? Let’s discuss. Michael Ameling, Yaad Oren, Steffen Pietsch, Peter Conrad, Stefan Kneis, Stefan Bäuerle, Amjad Al Kayed, Achim Kraiss, Rui Nogueira Johanna Biesalski, Ekkehart Seip , Mona Baumann #Leadership #AI #FutureOfWork #Innovation”

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Good perspective on evolution of training costs of AI Models

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The LLM will see you now: Google and DeepMind released a paper on Monday describing Med-Gemini, a group of advanced AI models targeting healthcare applications. The authors claim that Med-Gemini is outperforming competing models such as OpenAI’s GPT-4. During the pandemic we saw the rise of Telehealth which has largely come back to earth but could doctors be consulting more often with AI? (We know they already Google stuff) #Healthcare #AI

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