Girish Bajaj

𝗔𝗽𝗽𝗹𝗲 𝘀𝗵𝗼𝘄𝗰𝗮𝘀𝗲𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝘂𝗽𝗴𝗿𝗮𝗱𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗶𝗣𝗵𝗼𝗻𝗲 🚀 This clip from Apple’s event yesterday outlines all the advancements in the new A18 chip, specifically designed for AI. This isn’t just another upgrade—it’s a leap forward, bringing AI capabilities to the forefront. The A18 chip is engineered to unlock the full potential of the next wave of intelligent applications on-device. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿? Because the A18 chip isn’t just faster; it’s built for AI. Apple has poured innovations into this silicon, enabling real-time processing of complex AI tasks right on your device. Whether it's lightning-fast image recognition, advanced language processing, or seamless augmented reality experiences, the A18 chip is the key to tapping into the future of AI. 💡 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗰𝗮𝘁𝗰𝗵: To fully leverage these new capabilities, you need a device that’s powered by the A18. The question isn’t just whether you should upgrade; it’s whether you’re ready to step into the future of AI. ✨ Apple’s strength has always been in creating devices where the hardware and software work in perfect harmony. The A18 chip exemplifies this, designed to elevate your entire experience. By upgrading, you’re not just getting the latest tech—you’re embracing the next evolution of Apple’s innovation, where every interaction is smarter, faster, and more intuitive.

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𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝗦𝘁𝗲𝘃𝗲 𝗝𝗼𝗯𝘀: 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀  The 𝘚𝘵𝘦𝘷𝘦 𝘑𝘰𝘣𝘴 biography by Walter Isaacson highlights how transformative a dedication to detail can be in building iconic products. Jobs was relentless about the small things – the often-overlooked details he believed were essential to a product’s soul. Take, for instance, his insistence on a slot-loading CD/DVD drive for the iMac instead of the traditional tray. For Jobs, this wasn’t just an aesthetic choice but a statement of simplicity and elegance. He felt users would sense this refinement, even unconsciously. It’s a reminder that what might seem minor can ultimately shape a product’s perception and feel. This meticulous attention extended across everything Apple created. Jobs was known to care about typefaces, button layouts, and even the arrangement of circuit boards inside devices, setting a standard that every touchpoint should be crafted with care and intention. In software, he pushed for fluid animations and subtle sounds that felt intuitive, creating harmony between user and product. But his focus wasn’t only on the details – he believed in building fully integrated experiences. Apple’s software ecosystem is a perfect example. Consider how iMessage, FaceTime, and AirDrop work seamlessly across devices. This seamless integration wasn’t accidental; it was a result of careful planning where every piece was designed to complement the others, allowing users to switch effortlessly between devices. Another example is iCloud, which connects photos, documents, and apps across devices in real-time, giving users a sense of continuity and connection. For software and digital products, these principles are powerful. Imagine creating an experience that doesn’t just optimize each part but feels unified end-to-end. Integrating design and functionality seamlessly – from backend processes to front-end interfaces and customer support – can turn a functional product into a memorable one. And paying close attention to the details, like smooth transitions or well-paced loading speeds, often makes the difference between a good experience and a great one. Jobs’ approach reminds us that a product’s magic often lies in the fine details and the effort to build an experience that feels complete, connected, and crafted with intention. #ProductDesign #CraftingExperiences #LeadershipLessons

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I am excited to share the latest blog, co-authored by myself, Junhwi Kim and Vyas Sekar, detailing how we managed to successfully localized and improved LLM by combining Fine-Tuning and RAG. https://lnkd.in/gKDkgGPq

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/*********Mentorship**************/ I was watching today Andy Jassy's video (https://lnkd.in/gRV2mGPr) on career advice. He shared one of the very important thing on Mentor's. Mentor's overall objective is too help you grow. They let you do things which you even think you can not do and then give support if needed. They give honest feedback on areas of growth.

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Thanks to Ofer Ronen & Chad Oda for the opportunity to discuss #AI in Contact Centers; see a clip below & see 1st comment to see full session.

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🚀 Exciting times ahead for CDNs! I'll be at IBC this year to discuss the future of content delivery networks and the emerging tech that's reshaping the industry. AI is making waves in video workloads, from smarter caching to real-time video enhancement, transforming how we manage and deliver high-quality content. 🎥✨ Another game-changer? Optimizing object storage like S3 for CDN offload—this unlocks faster, more efficient content delivery at scale, cutting latency and costs. As these technologies redefine the market, we’re entering an era of smarter, leaner, and faster content delivery. Let’s connect at #IBC2024! 🔗 #CDN #AI #ObjectStorage #IBC #Innovation #ContentDelivery #VarnishSoftware

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Is Gen AI hype or real? Hosting a panel of experts from Amazon ( Thank you- Muthu Muthukrishnan, Jeetu Mirchandani, Mukesh Karki, Anand Rathi) in AWS Fintech summit to talk about building enterprise Gen AI solutions and applying Gen AI at scale was an honor. We discussed potential, technological challenges, including hallucinations and accuracy, cost, and go-to-market plans for AWS, Advertising, Stores, and the AGI space. #GenAI #ArtificialIntelligence #AWS #FintechSummit

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Three days to re:Invent 2024! If you are planning to attend, I would love to see you at BIZ219, where Oliver Ganser, Anna K. and I talk about the work that AWS Supply Chain and BMW are doing to transform sustainability operations in the automotive industry. Register now: https://lnkd.in/gqH8MgT2 Please also visit us at Kiosk #28 to discover how AWS Supply Chain can help you reduce costs and minimize risks in your supply chain operations. Other recommended sessions throughout the week: BIZ220 | How Moderna Is building a healthier supply chain BIZ320-R1 | Enhance forecasting accuracy with AWS Supply Chain Demand Planning BIZ204-R1 | Smarter, faster, better: Using generative AI on your supply chain data #AWSreInvent #SupplyChain #Healthcare #Sustainability #GenerativeAI #AI #MachineLearning #DataAnalytics

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🚀 Thrilled to see the launch of the next-gen OpenSearch Dashboards! As an engineering leader, you often work in multi-year timeframes, where the seeds you plant take years to fully bloom. This project was one of those—one I poured my heart into from the early days, writing and collaborating on countless documents with my team and cross-functional partners and laying the foundation for a new era in OpenSearch Dashboards. Although I left Amazon, it’s incredibly rewarding to see this vision come to life and to see my team’s hard work bear fruit. I’d like to give a special shoutout to Huan Jiang. When he first reported to me, he was one of the strongest ICs I’d ever worked with, with a natural inclination for leadership. I had the privilege of watching him grow into an amazing manager who relentlessly supported his team. Huan took strong ownership of this initiative, collaborating with other engineering groups, and was crucial to the success of this release, guiding his team through to the finish line with excellence. His dedication to the project and his team makes me immensely proud. Congratulations to everyone involved—seeing this reach users is a testament to the hard work, resilience, and collaboration of the entire team. It’s a reminder that, as leaders, we may not always witness the full lifecycle of every project we start, but the impact lives on through the incredible people who carry it forward. Our wake is bigger than our boat. Here’s to many more achievements in the world of the OpenSearch Project! #engineering #leadership #teamwork #OpenSearch #AWS #analytics #proudmoment

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Large Language Models (#LLMs) are evolving rapidly, and the demand for running them at scale is skyrocketing. #Ollama is stepping up to meet this need with its official container image on Docker Hub, excelling in local #deployments. However, there’s a catch for containerized environments: downloading #models requires the ollama serve command to be running within the #container. This extra step complicates automated deployments via #CI #CD #pipelines, making seamless model access challenging. To take your #model to production, it needs to be #container-ready—a feature Ollama has yet to fully support. The gap in #AIOps for smooth deployments gets blurred with the inference services available as an easy way to take it to production. Goal is to overcome obstacles and deliver solutions 😉 so here is to get you started on having your (O)#llama #production ready in a private #deployment from your #local to #cloud all in #oneshot . Enjoy Medium: https://lnkd.in/g9jqBQ8d dev.to: https://lnkd.in/gi_gGwam #AI #LLM #Ollama #llama3 #phi3 #mistral #S6overlay #AIOps #CI #CD #oneshot #container #docker #podmanEnjoy

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Yesterday, I visited the Corcovado Train in Rio, Brazil, and saw how poor communication can really mess things up at work. Leaders made sudden decisions without telling anyone, which left everyone confused. Different team members had different information, causing chaos. New policies were created randomly, and managers gave orders without explaining them, leading to blind compliance and confusion among tourists. It's shocking how bad communication can disrupt everything. I'm considering writing about it! #WorkplaceCommunication #Leadership #Teamwork

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100% agree with this: If tech workers are doing measurable work, they're doing easy work. They're doing repetitious work. This work isn't the most valuable work, and you should minimize it when possible. If tech workers are adding huge value, such as inventing new things their company (or the world) hasn't seen, then their work is hard/impossible to measure. They can swag (guess), but not accurately predict their work.

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Insightful session on how AI can bring benefits throughout different stages of the SDLC, including code explanation, generation, testing, code reviews, and monitoring in the production environment

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Without revealing any secrets, I can say that the way that WBD has made rolling this global brand out to new regions seemingly effortless and largely smooth sailing is a testament to a lot of intricate planning, hard work, incredibly complex distributed systems and media processing infrastructure design and implementation, and a set of teams that favors collaboration and practical applied innovation to a move fast and break things approach. It often feels like a miracle when these launches go so well, but it’s no miracle. It’s the result of a collaborative culture centered around engineering excellence and honed by aggressive, results-oriented prioritization and continuous improvement. It’s the result of 100s of colleagues working together to get to the right answer and never being satisfied with just ok.

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tldr: I'm hiring! As many of you know, I recently joined Lattice as their SVP of Engineering and I'm excited to announce that I'm hiring for all Engineering levels and more broadly, Lattice has open roles across EPD. If you're wondering, why Lattice? The last few years have seen a step change in how we think about the meaning of work and the employer <> employee relationship - add on the fuel of AI taking our jobs and you could be forgiven for thinking the future of work looks bleak for employees. It doesn't need to be that way - here at Lattice we're building the next generation of talent tools to give employers insights and employees purpose because people matter at work. Among other things, we're using generative AI to securely analyze enormous volumes of data to unlock career insights faster and investing in building equitable feedback, compensation and employer analytics tools - not just for one company but for all companies. If you're interested in making a difference to the future of work then let's chat - all roles are remote eligible and based in the US. We have physical offices in San Francisco and NYC if you prefer the in-office environment.

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AI not as chatbot but making AI useful for customers.

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Thats the exact explanation I gave to a group of investors last week. (… it’s just Precision/Recall, attributes vectorization as “embedding”, K-Nearest Neighbor, User Search Intent, DAG, ML algorithms, etc all over again …). LOL and they asked what’s new this time around. And I was like not much, ML is still the backbone, and AI is the inference and actions based on the model. It works better when there is a feedback loop in a closed system. But the current state of the art like ChatGPT is based on scraping the Internet (garbage in, garbage out). Kinda like early search engines. What is a better analogy is that NVIDIA/Snowflake etc are selling tools, aka pickaxes to prospectors. The gold is up to you to find. And the opportunity right now is to monetize industry specific (healthcare, travel, financial services) clean data to build models with (aka a treasure map for the prospectors). From an enterprise perspective, what’s out there today aka generative AI isn’t very useful. Too much hype. To build useful engines will require an effort similar to search revolution 2 decades ago. From

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Our latest TPU, Trillium, is now available in preview. Learn more about our latest TPU, Trillium, from a Google expert — as well as what a TPU, CPU and GPU are and what makes them all different. #ai #tpu #gpu

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