Arunansu Pattanayak

Data protection via use of Custom AI.. Highlights -- 1. Entrprises are customizing AI applications with thier own business data using Retreeval Augmanted Generation (RAG). 2.By connecting AI models to handpicked data source RAG enables faster ,effective and case specific generative AI deployment 3.Using RAG the copilot pulls live database on local servers keepinh all computer operations secure and in-house. 4. For many organisation biggest challenge to achieve AI success lies in collecting and praparing right data to train effective model. #GenerativeAI #data #privacy #LLM #copilot #businessorganisation #HBR #NIVIDEA #GALTER #Profmkb #galterprofmkb

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We live more on a URL than in IRL. We have a duty as a digital citizen. On a recent podcast, Manoj Deshpande Neha Deshpande and I discussed digital civics - the rights and duties of a digital citizen, with a strong focus on good behavior and responsibilities. That discussion was all about extracting good civic behaviors from everyday life like being good to your neighbors, keeping your vicinity clean, showing respect, etc., and drawing a parallel to behavior on the internet. But the nature of the internet itself requires a new framework that looks at all the nuances of chatting and sharing, gaming, phone use, scams, misinformation, etc. To address that, I've extended a new psychological framework loosely based on original work done by Estelle Clements https://lnkd.in/dSx2qUzu

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A few thoughts on #LLM usage in the small, prompted by my toying with #llama3 and #phi-3 on consumer hardware.

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#DayThree Jennifer Doudna, the biochemist renowned for inventing CRISPR, has not explicitly expressed her opinion on Artificial Intelligence (AI). However, she acknowledges the ethical concerns surrounding innovations like CRISPR and AI. In a discussion with Fei-Fei Li, who heads the Human-Centered Artificial Intelligence endeavor, Doudna emphasized the need to consider societal impacts and ethical implications of scientific work. While her focus remains on genome editing, she recognizes that AI will likely have a significant impact, particularly in enabling greater efficiency. #AI #Copilot #MH #captainfuture

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OCI's Mahesh Thiagarajan recently met with ZDNet Japan to discuss our AI infrastructure strategy including the massively scalable OCI Supercluster. Read on, to find out why the world's leading companies and LLM providers are flocking to OCI for their most demanding AI workloads. Mahesh Thiagarajan #OCI #AI https://lnkd.in/gnPWnQbf

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https://lnkd.in/eZtiM-yU The Multi-LLM and Multi-Agent approach represents the next evolution in AI system design, enabling more robust and specialized solutions. By leveraging multiple LLMs with distinct strengths and pairing them with domain-specific agents, organizations can optimize performance, improve contextual understanding, and handle complex, multi-domain workflows. This approach allows for seamless collaboration between models, facilitating dynamic task allocation and enhanced user interaction, while ensuring scalability and modularity in AI deployments.

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Download the IBM white paper. Generative AI (gen AI) and large language models (LLMs) are revolutionizing the data engineering capabilities required to solve complex data problems This white paper provides a perspective on the opportunities for improving data services using generative AI to augment data practitioners. https://lnkd.in/e9qy4R3W #ibm #GenAi #watsonx

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At AWS re:Invent 2024, Dr. Swami Sivasubramanian, VP of Data and AI at AWS, emphasized the convergence of data, analytics, and generative AI as a transformative force in technology. He highlighted how this integration enables more capable AI applications, allowing customers to achieve greater value more quickly. Dr. Sivasubramanian cited examples like Rocket Mortgage, which is building an AI-driven platform powered by Amazon Bedrock to create AI agents and automate tasks, and Canva, which uses AWS to handle 1.2 million requests daily, resulting in 450 new designs created every second. He also noted the human aspect of this convergence, with people across organizations collaborating in new ways, necessitating a deeper understanding of data and AI. #AWSreInvent #GenerativeAI #DataAnalytics #AIConvergence #TechInnovation APA Citation: Sivasubramanian, S. (2024, December 16). AWS re:Invent 2024 Highlights: Top takeaways from Swami Sivasubramanian to help customers manage generative AI at scale. AWS Machine Learning Blog. Retrieved from https://lnkd.in/eFNrY3Mx

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📢 Who Invented the Term QoE (Quality of End User Experience)? 📢 Ever wondered who coined the term QoE (Quality of End User Experience) and pioneered solutions to measure it, relating it to QoS (Quality of Service) for the first time nearly 20 years ago? Discover the innovator behind this groundbreaking concept and the impact it has had on the telecommunications industry. Watch the video below to learn more! 🎥👇 #QoE #drdavidsoldani https://lnkd.in/gcvF8Tux

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Read this article and discover how #mayahtt is leveraging #ai and #llm with the new #MBot. This is impressive !

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OpenAI is rolling out Advanced Voice Mode (AVM) to paying customers. My focus is driving adoption through behavioral change - AVM can help, because the user interface feels natural. But the mere existence of this tech doesn't matter, any more than the existence of a treadmill in your basement gets you into shape. Your organization needs structured education. Structured education around generative AI cannot soley focus on just how to use it. It won't work. You've seen that for yourself, I'm guessing. Instead, education MUST focuse on how to GET people to use it. Merely buying licenses for MS Copilot does not mean your people will use it, any more than putting a state of the art gym in your office will get people healthier. Because this requires behavioral change more than education. We need a different approach - that's why I have my generative AI for professionals course for enterprises on my AI Mindset website. If you're all set, great. If you have somebody else training you, great. But get your team educated.

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Check out my Oracle Cloud Infrastructure 2024 Generative AI Professional certification! Generative AI (Launch of ChatGPT by OpenAI) has shaken the industry like Netscape (Leading to interactive Web as we know it now) did in mid 90s and then AWS (Cloud Services with Scaled applications) did in mid 2000s. As a part of System integrator family, I try to remain neutral to vendor offerings for technology learning. OCI courses, both associate and Professional are literally the best in the indsutry you can find with minimal focus on OCI Infra (Cohere LLM Model focussed). You can not have single course covering every aspect, this is worth trying (and recommended). Although I will say, the exam was not "Professional" level standard.

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I really enjoyed this conversation as it allowed us to explore the fascinating world of Small Language Models and uncover why they're becoming the true workhorses of enterprise GenAI tasks! 💡 Given how frequently these questions come up in my discussions, I thought I'd share some key insights: 1️⃣ Why are SLMs important for enterprises? 🏢 Enterprises are leveraging LLMs and other GenAI solutions to improve their business processes, aiming to boost efficiency without inflating costs. While larger LLMs offer impressive capabilities, they come with significant cost implications - especially the proprietary models. Enter Small Language Models: though they might not match their giant cousins in raw performance initially, they can catch-up (and often outperform) through customization. Here's the game-changer: a task-customized SLM can deliver similar or superior performance compared to proprietary LLMs while being orders of magnitude more cost-effective! 💪 2️⃣ What is LLM customization? 🎯 To customize your LLM, you'll need two essential tools: - A solution to transform your enterprise data (knowledge) into training data and/or generate task-specific (skills) training data 📊 - An efficient method to train your SLM on this curated data 🔄 3️⃣ What makes it hard? 🤔 Data, of course! While numerous solutions exist to "bake the data into the model," we lack enterprise-grade approaches for converting enterprise data into training data or generating skills data. Sure, you could turn to data vendors, but that route is typically extremely expensive and often struggles to scale as your enterprise data grows. 📈 4️⃣ What tools are available for LLM customization today? ⚡ This is exactly where InstructLab shines! ✨ Unlike other customization offerings, IL provides both tools in one comprehensive open-source package, backed by the expertise of RedHat and IBM. IL features some of the most advanced synthetic data generation methods, enabling you to: - Convert your enterprise data into high-quality training data - Synthesize skills data using open-source LLMs - Leverage novel large-scale training methods to optimize your small model The results? 🎯 On numerous enterprise tasks, including RAG implementations, IL-tuned 7B/8B models consistently outperform proprietary models at a fraction of the cost! 🤝 Let me know if this was helpful, I'll be happy to create a comprehensive long(-er) form post sharing concrete results from real-world implementations. #GenAI #MachineLearning #EnterpriseAI #Innovation #TechTrends #InstructLab #SmallLanguageModels

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NBC News writes "How Indigenous engineers are using AI to preserve their culture - Indigenous languages are rapidly disappearing, and AI could help preserve them, according to Indigenous technologists." https://lnkd.in/efmA-SNF. #nbcnews #artificialintelligence #indigenousengineers #indigenouslanguages #indigenoustechnologists

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Check out this IBM Developer post on a #watsonx AI tool for developers to build AI applications, using a CLI, and consume them using a SDK.

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#birthdayspecialpodcast Celebrating our 100th episode with a twist! 🌟 Host Raghu Banda steps into the spotlight on his birthday as he's interviewed by his own digital twin—a voice-cloned AI version of himself. 🎙️ Dive into the discussion about Raghu Banda's latest book "Building Social Equity with AI," exploring how AI drives fairness, accountability, and transparency in our society. 📚 Don't miss this insightful conversation on AI's potential to shape a more equitable world. 🚀 #AI #GenAI #SocialEquity #Data #Analytics #Quality #Equity #Merit

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According to recent research from Slalom and Ardoq, 51% of organizations are in the process of building an enterprise architecture but are finding it difficult to move fast enough. 💡Slalom’s analysis💡: To successfully adopt emerging technologies, CIOs should operate enterprise architecture as a business discipline – not just as a technology function. Read more in our latest report, and please reach out directly if you’re interested in discussing your enterprise architecture capabilities further!: https://slalom.ws/4cSHZgq

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