Wee Hyong T.

With NVIDIA AI Foundry, enterprises and nations can supercharge #generativeAI with a service spanning curation, synthetic data generation, fine-tuning, retrieval, guardrails, and evaluation to deploy custom AI at Meta Llama 3.1 NVIDIA NIM Microservices.

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🗞️🗞️ Exciting news from IBM and Meta! 🤝 Llama 3 models are now available on #WatsonX. Collaborating with Meta, we're driving open and responsible AI forward. This is the way to go! #OpenInnovation

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More TI (ServiceTitan AI initiative aka Titan Intelligence) features were also announced during ServiceTitan CEO, Ara Mahdessian, keynote including our first Agentic AI solution, The Virtual AI Agent, within Contact Center Pro, which captures calls on nights and weekends and decreases the call center burden by half. We also released to all Phones customers Second-Chance Leads, TI-powered feature that identifies calls that could have been booked by the call center but weren’t — and alerts contractors that they should call back to win the job. Ara called it “one of the most powerful capabilities we have ever built at ServiceTitan." https://lnkd.in/ginaepVK

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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The first step to delivering trusted AI is having the right type of data. Explore the dark age of data W/ @rwang0 on episode 1 of The AI Forecast w/ @xthestreams. Watch it here: https://buff.ly/4fBpC0V @cloudera #Data #AI

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Insightful interview with #AWS CEO Matt Garman at the re:Invent conference in Las Vegas, where he shared #Amazon's ambitious #AI strategy and their $4 billion investment in #Anthropic 🦾🤖 H͟e͟r͟e͟ ͟a͟r͟e͟ ͟s͟o͟m͟e͟ ͟k͟e͟y͟ ͟t͟a͟k͟e͟a͟w͟a͟y͟s͟:͟ ✅️ 𝗖𝗼𝗺𝗺𝗶𝘁𝗺𝗲𝗻𝘁 𝘁𝗼 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗜: Amazon is dedicated to building scalable #AIinfrastructure, supporting open #partnerships, and driving customer #innovation. ✅️ 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗧𝗿𝗮𝗶𝗻𝗶𝘂𝗺𝟮: With #Trainium2, Amazon is advancing its #genAI capabilities and #cloudcomputing infrastructure. ✅️ 𝗡𝗼𝘃𝗮 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀: The #Nova models represent a leap forward in #AItechnology and #AIinnovation. ✅️ 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗶𝗻 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Focusing on the future of AI, Amazon is exploring multi-#AIagent collaboration and its potential impacts. ✅️ 𝗧𝗿𝗮𝗶𝗻𝗶𝘂𝗺 𝗖𝗵𝗶𝗽𝘀 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀: The latest advancements in #Trainium chips are expected to transform AI processing power and efficiency. ✅️ 𝗖𝗹𝗼𝘂𝗱 𝗪𝗼𝗿𝗸𝗹𝗼𝗮𝗱 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻: Amazon's goal to flip #cloudworkload adoption to 80% signals a significant shift in the tech landscape. This investment underscores Amazon's vision for the future of AI. It's an exciting time for the #tech industry, and I'm eager to see how these developments will shape the future of AI and #cloud computing 🚀🚀 #LLM #FM #RAG #AgenticAI #AmazonWebServices

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I'm thrilled that this week, we announced the launch of Amazon Bedrock Model Distillation, a game-changing solution for AI optimization.   Our new model distillation capability gives you the opportunity to use smaller, faster, more cost-effective models that deliver use-case specific accuracy that is comparable to the most advanced models in Amazon Bedrock. Customers first choose a ‘teacher’ model, whose accuracy you want to achieve for their use-case, and then select a ‘student’ model that they want to fine-tune. This breakthrough allows businesses of all sizes to create faster, more cost-effective AI models without compromising on accuracy. It's perfect for real-time applications and complex data processing tasks. In fact, distilled models on Amazon Bedrock are up to 500% faster and up to 75% less expensive. We're already seeing customers like Robin AI leverage this technology to power high-quality legal Q&A across millions of contract clauses, delivering faster responses and more fluid customer interactions. Excited to see how you'll use Amazon Bedrock Model Distillation to transform your AI initiatives. Learn more and get started today! https://lnkd.in/gRzcMSjZ #AmazonBedrock #AI #Innovation #AWS

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🚀 Thrilled to share that I’ll be speaking at #Pendomonium2024! Join me for a session on Accelerating Generative AI Adoption: From PoC to Production. Generative AI is transforming industries, but scaling it requires strategy. I’ll cover: 🔑 Key challenges and solutions for scaling GenAI 📈 Why Vertex AI is crucial for ROI and future-proofing 💡 How to leverage RAG and Google’s foundation models to build impactful AI solutions This year’s biggest product festival promises to deliver new skills, fresh insights, and powerful connections. I can’t wait to see you there! Explore the full agenda for what’s coming this October 👉 https://bit.ly/3znmuFw #ProdMgmt #GenerativeAI #AI #innovation #conference #LLM  #GenAI  #KnowledgeGraphs  #EnterpriseKnoweldgeGraphs  #Evolution #AI  #IntelligentOrganizations #Google #GoogleCloud #VertexAI  

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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Check out a paper being presented at the GenAI workshop at @chi2024 tomorrow where Larry Birnbaum and I explore how GPT can help with analytical narrative structure. https://lnkd.in/gxiF6MU7

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A heartfelt thank you to the e27 (Optimatic) team, especially Anisa Menur A. Maulani for featuring a significant milestone in our journey at Addlly AI as we join the Microsoft's Gen AI Growth Accelerator. Our dedicated mentors, Dave Enright, Bryan Chua have been guiding us in our first sprint to enhance our platform's capabilities using first party data from our clients to create custom workflows to scale up personalised marketing. We are developing a lot of exciting new custom features for enterprises looking to power the next phase of marketing based on their own data. 🚀 Looking forward, as we step into this exciting phase, our focus will be on: * Enhancing AI capabilities to deliver more personalized and impactful content solutions. *Expanding our market reach through strategic partnerships and innovative offerings. *Continuing to innovate with #generative #AI to stay ahead in the dynamic digital marketing landscape. We can't thank Lee Yvonne and BLOCK71 Singapore team for all the support and help to take us to the next phase of growth. A big thanks to the wonderful team Harshit Agarwal Karthick Kannan Sofianna Ng Nurfarahdyl Hashim (Dill) Joanda Kevin Firdaus Nur Iman Ronie Ganguly, CFA Deng Xiang whose hard work and creativity are the driving forces behind our little victories along the way. #AI #marketing #contentcreation #innovation #Microsoft #e27 #accelerator #growth #genAI #generativeAI #contentmarketing #startup #success

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A video snippet of my keynote at Cyara #xchange in San Diego. What do you think about AI adoption? Pls share your thoughts in the comments below!

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Had a great conversation with Jordan Wilson and the Everyday AI podcast to discuss how organizations can get started with AI-powered agents. Tune in to hear our advice for getting started with agents, including examples from customers like McKinsey & Company https://lnkd.in/gAnZmHzm #Microsoft #Ignite #CopilotStudio #Agents #AI

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Interesting notes from Intuit's recent webinar on LLMs. What evaluation processes do you deploy? at tasq.ai our approach is to integrate the AI models with diverse, global human guidance, to support #responsibleai faster and near real time.

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The latest report by BCG on AI implementations finds that majority (98%) of companies are experimenting with Gen AI, but only a minority (26%) have the capabilities to implement it at scale, and even a smaller subset (4%) have done so to achieve results. Which category is your organization in? Leaders in AI find value in both core business processes and support functions; they are more ambitious with AI, focusing on fewer, high-impact projects that promise higher returns. They invest strategically, integrating AI into both cost reduction and revenue-generating activities. The report stresses that success in AI relies more on investing in people and processes than on technology alone. Common obstacles include prioritizing AI initiatives, integrating AI with existing IT systems, and addressing workforce readiness. Source: https://lnkd.in/eRj4BuVf

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This is an excellent talk and demo from Emil Eifrem, Neo4j CEO, on why GraphRAG is an important component in grounding an Enterprise GenAI LLM. #neo4j #genai #GraphRAG

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The cost and complexity of building general-purpose LLMs are well known and many vendors are trying new approaches to achieve better results. However, the data has been scarce on how much more effective targeted LLMs can be. At Think2024 this year, IBM's new Granite models offered some clues. In this note, I bring some thoughts together on the topic. It would be great to see Signal65 do some real research on this one but for now, this was pretty good. #IBM #Think2024 #GenAI #Granite #MoorInsights https://lnkd.in/eT9m5F5q

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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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