Animesh Singh

A must read for AI enthusiasts from Manish Bhide AI Governance is crucial in the Generative AI era to prevent incidents like the airline company's chatbot hallucinating and promising a non-existent discount. By adopting AI Governance principles, enterprises can ensure responsible AI adoption, mitigate risks, and maintain regulatory compliance.

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Ai : Hunanity's greatest creation for Good and Bad. To secure ourself #zerotrustai In the journey, MS brings up VASA-1 will AI model which essentially spins a selfie image and turn it into a talking clip of you. All you have to do is upload a photo along with a voice note and let the AI model do the talking for you.

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🎙️ New Podcast Episode: All About Data with Sathish KS 🎙️ In this insightful episode of hashtag #ProductTalkwithMalthi, we had the pleasure of chatting with Sathish K S, CTO at Zeotap, a leading Customer Data Platform provider. Sathish shared his journey in the data space, starting from his Cisco days to leading hashtag #datatransformations across #MarTech, #AdTech, and anti-fraud domains. Key Takeaways: 👉 Data Platforms: The New Gold Rush – Learn how to turn raw data into actionable business power. 👉Cracking the Data Code – Why most companies are stuck and how to break free from data paralysis. 👉Mastering Data Product Management – Think beyond the obvious and manage AI’s unpredictable ripple effects. 👉Privacy vs. Innovation – How to win customer trust while pushing the boundaries of data-driven innovation. 👉The Next Big AI Wave – It’s more than just algorithms; discover the complete ecosystem shift shaping the future. Whether you're navigating the complexities of data silos or exploring the future of AI, this episode offers a masterclass on leveraging data for business success. Don't miss out on these valuable insights! 💡 Check the episode here: YouTube : https://lnkd.in/gH4bhNKz Spotify https://lnkd.in/gHQRckCw Apple Podcasts https://lnkd.in/gVfMaeTn Share, comment and Subscribe hashtag #DataDriven #AI #ProductManagement #Podcast #TechTalks Tanwistha Gope SparkProd Consulting Private Limited

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🚀 Day 15 of My 25-Day Generative AI and LLM Challenge 🤖🔍🚀✨ The Role of LLMs in Transforming Conversational AI ✨🚀 with my friends Dhruvil Rasadiya and Maanan Jagani 👉 In the ever-evolving landscape of technology, Large Language Models (LLMs) are revolutionizing the way we interact with machines. 🧠🤖 🔍 What are LLMs? LLMs, like GPT-4, are advanced AI models trained on vast amounts of text data. They excel in understanding and generating human-like text, making them indispensable in various applications. 📚💡 💬 Impact on Conversational AI: ➡ Enhanced User Experience: LLMs enable more natural and engaging interactions, providing users with human-like conversations. 🌟🗣️ Whether it's customer service chatbots, virtual assistants, or interactive voice response systems, LLMs create smoother and more intuitive user experiences. ➡ Personalization: By understanding context and user preferences, LLMs offer personalized responses, improving user satisfaction. 🎯🤩 Imagine a virtual assistant that remembers your preferences and provides tailored recommendations – that's the power of LLMs at work! ➡ Multilingual Capabilities: Breaking language barriers, LLMs can communicate in multiple languages, broadening accessibility. 🌍🗺️ This is crucial for global businesses looking to provide consistent customer support across different regions and languages. ➡ Automation & Efficiency: From customer service to content creation, LLMs streamline processes, saving time and resources. ⏱️💼 Businesses can automate routine tasks, allowing human employees to focus on more complex and creative endeavors. ➡ Understanding Nuances: LLMs can grasp subtle nuances in language, including idioms, slang, and context-specific meanings. This allows them to handle complex queries with greater accuracy. 🧩🔍 ➡ 24/7 Availability: Unlike human agents, AI-driven systems powered by LLMs can operate around the clock, providing uninterrupted service and support to users anytime, anywhere. 🌐🕒 📈 Future Prospects: The potential of LLMs in Conversational AI is immense. With continuous advancements, we can expect even more sophisticated and intuitive interactions, driving innovation across industries. 🚀🔮 Imagine AI that can not only understand but also predict user needs, offering proactive solutions and insights. 🔧 Challenges & Considerations: While the benefits are significant, it's essential to address challenges such as data privacy, ethical use of AI, and ensuring the accuracy and fairness of AI responses. 🤔⚖️ By prioritizing responsible AI development, we can harness the full potential of LLMs while mitigating risks. 🌐 Join the Conversation! How do you see LLMs shaping the future of Conversational AI? Share your thoughts and let's explore the possibilities together! 💬🤝 #ConversationalAI #AI #MachineLearning #Technology #Innovation #LLMs #FutureOfAI #CustomerExperience #Personalization #MultilingualAI #Automation #EthicalAI

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So many wonderful memories from AMD's Advancing AI Day yesterday. If I had to pick one highlight, it would be our startup panel with Vamsi Boppana, our SVP of AI, alongside my favorite entrepreneurs. 1. Ashish Vaswani from Essential AI 2. Dani Yogatama from Reka AI 3. Amit Jain from Luma AI 4. Dmytro Dzhulgakov from Fireworks AI These founders have been pushing the boundaries of what’s possible with our MI300X GPUs, helping us confidently meet tomorrow’s AI demands today. Together with our ecosystem partners, they are a driving force behind advancing AI for everyone.

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#DigitalTwins with #AgentAI at #weeklywed today in 30 min at 9am pt/ 18hr cet with our speaker Sneha Jadhav Join Zoom at https://lnkd.in/g69pbesY Calling my students who have learnt #digitaltwins in 🚗 from #Autonomousvehicles Stanford Continuing Studies class and my students who have learnt #digitatwins in #Iot from #Artificialintelligence unconnected product course at LinkedIn Learning Let’s find out how #GenAI meets #Digitalrwins in #industry #productmanagement

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Retrieval-Augmented Generation (RAG) is transforming natural language processing (NLP) by enhancing Large Language Models (LLMs) with external knowledge bases. This innovative approach proves essential in industries like legal, medical, and financial sectors, where precision and reliability are crucial. Assessing performance and defining proper metrics remain major hurdles in RAG. Fortunately, RAGchecker emerges as a solution to address these challenges effectively. #RAG #NLP #Innovation #ai #llm #learnitall #msadovate

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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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AI next frontier is possibly developing and scaling the reasoning layer, where AI systems possess hard problem-solving and higher order cognitive intelligence. Came across this good article from Sequoia.

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💥💥💥 Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback Guan-Ting Lin, Prashanth Gurunath Shivakumar, Aditya Gourav, Yile Gu, Ankur Gandhe, Hung-yi Lee, Ivan Bulyko Abstract While textless Spoken Language Models (SLMs) have shown potential in end-to-end speech-to-speech modeling, they still lag behind text-based Large Language Models (LLMs) in terms of semantic coherence and relevance. This work introduces the Align-SLM framework, which leverages preference optimization inspired by Reinforcement Learning with AI Feedback (RLAIF) to enhance the semantic understanding of SLMs. Our approach generates multiple speech continuations from a given prompt and uses semantic metrics to create preference data for Direct Preference Optimization (DPO). We evaluate the framework using ZeroSpeech 2021 benchmarks for lexical and syntactic modeling, the spoken version of the StoryCloze dataset for semantic coherence, and other speech generation metrics, including the GPT4-o score and human evaluation. Experimental results show that our method achieves state-of-the-art performance for SLMs on most benchmarks, highlighting the importance of preference optimization to improve the semantics of SLMs. 👉 https://lnkd.in/dXBzaibk #machinelearning

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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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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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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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Please join me on June 25th San Francisco, CA, USA for a panel titled "A BLUEPRINT FOR SCALABLE & RELIABLE ENTERPRISE AI/ML SYSTEMS" w/ moderation by Hira Dangol from Bank of America and my fellow panelists Rama Akkiraju from Nvidia and Nitin Aggarwal from Google. Recent breakthroughs in AI technology have captured the world's attention, and now it's time to address the challenge of creating truly robust and reliable AI systems. AIQCon's mission is to harness the power of our community to develop new GOLD STANDARDS for AI quality. The global movement is bringing together renowned leaders and professionals from across the industry to establish reliable AI quality solutions and standards. If you're working on AI systems, you won't want to miss this one! Use the discount code "Community" for a 15% discount on registration. Register at https://lnkd.in/gqRE48fC. #AI #EnterpriseAI #AIQuality #AIQCon https://lnkd.in/gqRE48fC

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Fantastic panel on GTM for Enterprise AI. Thanks to fellow panelists for a sharp discussion and to Emergent Ventures for hosting. Anupam Rastogi Ankur Jain Preethy Padmanabhan Chandini M Ammineni Jason Griggs Deb Bardhan #GTM #EnterpriseAI

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Spot on analysis by Sonya Huang and team. Application-layer technology is what will drive large scale adoption of AI. Especially, in country like India where the need for personalization is challenged by vast language diversity and cultural background. As LLMs become powerful in reasoning, it will only make the case of applied AI stronger and expectations even higher. This article has personally added to the inspiration for us at dubpro.ai to build systems that interact and learn from human feedback. By effectively combining a workforce with our AI systems, we have scaled video dubbing across difficult courses and technically complex subjects and dropped cost per hour from $500 to under $40. Agentic AI is working! Very nice read. Source: https://lnkd.in/gqTNZdpJ

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Awesome to see the Meta #Llama 3.2 models on #Azure #AI Model Catalog through managed compute inferencing #MaaS and soon on serverless API deployments while MACC Eligible providing customers with Enhanced Security and Compliance, Content Safety Integration, Simplified Assessment of LLM flows, Client integration, and Simplified Deployment and Inference. https://lnkd.in/g4Zpb3Dm

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