Nikhil Dinesh

WOW, now this is some AWSome news. AWS is investing $9 billion (SG$12B) more into our Cloud computing infrastructure in Singapore. AWS investments are expected to support over 12,000 jobs a year, and contribute $17.6 billion (SG$23.7B) to Singapore’s GDP by 2028. We also announced a new flagship AI program in collaboration with the Singapore Government and government agencies to help enterprises, startups, and communities accelerate their adoption of AI and GenAI. The program will support AI research and development, and includes a series of AI and professional certification programs to train 5,000 people a year on AI skills over the next three years. #AWSProud

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AWS is doubling down on its commitment to Singapore with a whopping S$12 billion investment over the next four years. This infusion will fuel the expansion of AWS's cloud infrastructure, meeting the surging demand for cloud services in our vibrant market. As a cornerstone of Singapore's digital economy, AWS not only provides essential digital infrastructure but also fosters innovation and upskills the local workforce. Through initiatives like AWS AI Spring for Singapore, AWS is driving collaboration, nurturing AI talent, and supporting the growth of startups. This investment is projected to contribute around S$23.7 billion to Singapore's GDP and create over 12,300 jobs by 2028, sparking further economic growth and innovation. #AWS #Singapore #DigitalTransformation #AI #Innovation

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Google's $1 billion investment in Pacific connectivity is a major milestone in bridging the digital divide and fostering a more connected world. This initiative not only strengthens infrastructure but also holds the promise of transforming lives and economies across the Pacific region. As we move towards an increasingly digital future, investments like these are crucial in ensuring that everyone can benefit from the opportunities that connectivity brings. “In partnership with Governor Green’s administration, Hawaii's Connect Kakou initiative is working to ensure people from all walks of life have reliable and affordable access to high-speed Internet. The Pacific Connect initiative perfectly complements our planned efforts, and will significantly enhance our future connections from Hawaii to the continental U.S. and Japan as well as ensure communities across the Pacific have equitable and reliable access to digital services." - Sylvia Luke, Lieutenant Governor, State of Hawaii https://lnkd.in/gp849ihX https://lnkd.in/gcUwbJs7 Amanda Stange Jen Stanley Reymund Dumlao Jamar Thomas Sandeep Togrikar Steve Lujan Christopher Hein

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Experience Mixtral 8x22B and Mistral Large API endpoints, powered by NVIDIA NIM microservice, from our NVIDIA API catalog ➡️ https://lnkd.in/gXsNpu2J These performance-optimized #generativeAI models by Mistral AI, excel in complex multilingual reasoning tasks, and more.

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Unlock insights into Large Language Model evolution with our comprehensive white paper! Chaminda Wijayasundara, VP of Technology and genAI Leader, delves deep into the landscape of LLMs, comparing commercial giants, open-source wonders, and compact transformers. Download the white paper: https://lnkd.in/ejeA2Bc6 #EngineeringFirst #generativeAI #LLM #OpenSource #virtusa

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𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰: 𝐏𝐢𝐨𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 Recently I happened to see this nice video ( 𝘩𝘵𝘵𝘱𝘴://𝘸𝘸𝘸.𝘺𝘰𝘶𝘵𝘶𝘣𝘦.𝘤𝘰𝘮/𝘸𝘢𝘵𝘤𝘩?𝘷=𝘴𝘢𝘭78𝘈𝘊𝘵𝘎𝘛𝘤 ) by Andrew Ng in which he talks about Agentic workflows. In Language Model (LLM) development, we provide a zero-shot prompt and receive an answer. We may review it and add more prompts to get it to a desired shape. This is exactly what the agentic workflow does. Basically, 𝘢 𝒃𝒖𝒏𝒄𝒉 𝒐𝒇 𝑨𝑰 𝒂𝒈𝒆𝒏𝒕𝒔 𝒘𝒐𝒓𝒌 𝒕𝒐𝒈𝒆𝒕𝒉𝒆𝒓 𝒊𝒏 𝒂𝒏 𝒊𝒕𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝒘𝒂𝒚 𝒕𝒐 𝒑𝒓𝒐𝒅𝒖𝒄𝒆 𝒂 𝒅𝒆𝒔𝒊𝒓𝒆𝒅 𝒐𝒖𝒕𝒑𝒖𝒕. Moreover, he even claims the output produced by agentic workflow is much better than the output produced single LLM which might sound obvious but what surprised me was, as per the “𝑯𝒖𝒎𝒂𝒏𝑬𝒗𝒂𝒍” coding benchmark, agents-based approach beating plain LLM by quite a margin (see the picture below). The plain 𝐆𝐏𝐓 3.5 was at 48% but 𝑳𝑫𝑩+𝑹𝒆𝒇𝒍𝒆𝒄𝒕𝒊𝒐𝒏 (𝘈 𝘓𝘢𝘳𝘨𝘦 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘔𝘰𝘥𝘦𝘭 𝘋𝘦𝘣𝘶𝘨𝘨𝘦𝘳 𝘷𝘪𝘢 𝘝𝘦𝘳𝘪𝘧𝘺𝘪𝘯𝘨 𝘙𝘶𝘯𝘵𝘪𝘮𝘦 𝘌𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯 𝘚𝘵𝘦𝘱-𝘣𝘺-𝘴𝘵𝘦𝘱) fared at impressive 95.1% with the same GPT 3.5. The plain 𝐆𝐏𝐓 4 was at 67% but 𝑨𝒈𝒆𝒏𝒕𝑪𝒐𝒅𝒆𝒓 (𝘔𝘶𝘭𝘵𝘪-𝘈𝘨𝘦𝘯𝘵-𝘣𝘢𝘴𝘦𝘥 𝘊𝘰𝘥𝘦 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘐𝘵𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘛𝘦𝘴𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘖𝘱𝘵𝘪𝘮𝘪𝘴𝘢𝘵𝘪𝘰𝘯) fared at whooping 96.3% with the same GPT 4.  You can get more information about the evaluation and the models at 𝘩𝘵𝘵𝘱𝘴://𝘱𝘢𝘱𝘦𝘳𝘴𝘸𝘪𝘵𝘩𝘤𝘰𝘥𝘦.𝘤𝘰𝘮/𝘴𝘰𝘵𝘢/𝘤𝘰𝘥𝘦-𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯-𝘰𝘯-𝘩𝘶𝘮𝘢𝘯𝘦𝘷𝘢𝘭. He also mentioned the following are the 4 design patterns that are emerging in the agentic workflow. 1.    Reflection 2.    Tool use 3.    Planning 4.    Multi-agent collaboration If you are interested in learning more, instead of me explaining each of these patterns, I would encourage watching the video :) #ai #agent #agenticworkflow #gpt

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In an interview with ETCIO, Ravi Rajendran, Area Vice President of ASEAN, Elastic, shares about the challenges that enterprises face when dealing with large volumes of structured and unstructured data, and how Elastic combines search, machine learning and artificial intelligence to revolutionise the way enterprises handle and analyse data. Read more here: https://lnkd.in/gGsz7gN2

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Folks, getting evaluation right for modern Gen AI is key to making it measurably effective. Thanks to Andrew Ng for helping drive this issue forward. https://lnkd.in/e3jHFk2D

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Nice to see Agent Architecture making a comeback to enhance the performance and reliability of LLMs. Andrew NG followers will find this article unsurprising; working on small, specialized agents boosts speed and reduces hallucinations. #AgentArchitecture #LLMs #AI https://lnkd.in/dGmhu6d6

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In an interview with ETCIO, Ravi Rajendran, Area Vice President of ASEAN, Elastic, shares about the challenges that enterprises face when dealing with large volumes of structured and unstructured data, and how Elastic combines search, machine learning and artificial intelligence to revolutionise the way enterprises handle and analyse data. Read more here: https://lnkd.in/dD2f-GTk

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Join me at the Cloud Native #opensource meetup in #Singapore on July 10! Our speakers will showcase various open source tools used by companies like Shopee and ByteDance to run and manage cloud native applications. Check it out!

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Super cool implementation of Amazon Bedrock with Amazon Neptune, a graph database solution by my colleague. Building out a knowledge graph and using the large language model in Bedrock together with the knowledge graph, one can see how news of a particular supplier in a supply chain may result in second and third order impact. This can uncover dependencies and relationships between companies. #aws #bedrock #neptune #generativeai

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Generative AI is experiencing unprecedented growth and a rate of diffusion, unlike any other technology. Ahmed Mazhari, President, of Microsoft Asia, discusses how this defining technology of our time is transforming the way we work and live – from cancer diagnosis to booking your next flight. Discover the incredible potential of #AI in empowering every person, organization, and industry to be more productive, and in unlocking a future that is inclusive and beneficial for all across Asia.

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Empower Your Cloud Security with Google Cloud NGFW Enterprise Join @GoogleCloud Tracy Jiang and Matt McLimans alongside John Grady, Principal Analyst at Enterprise Strategy Group, for a 5-minute discussion on how Cloud NGFW Enterprise, powered by @PaloAltoNetworks, simplifies and strengthens cloud security for organizations. Discover how to: - Effortlessly deploy network security policies - Seamlessly scale with your cloud infrastructure - Protect against evolving cyber threats Watch now and learn how Cloud NGFW Enterprise can help you unlock the full potential of your cloud journey: https://bit.ly/3VsoZim

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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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I heard Taobao/JD are using Avatar to sell products during the 618 and boost up a lot, well, let me try using Azure AI Service to make my first Avatar and speak in Northeastern Mandarin. 😅 Showtime, let her introduce some of my recent AI projects like invoice recognition, chatbot, high-end customer prediction, etc. #AzureAI #MachineLearning #CopilotStudio #AzureML

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