Pulkit Khandelwal

The company's search boss, Prabhakar Raghavan, told employees at an all-hands meeting in March that Google plans to build teams closer to users in key markets, including India and Brazil, where labor is cheaper than in the U.S. Seems like SkillsFuture is leveling up in India and Brazil; also means the Commoditization of typical "Core" roles could be performed beyond the US, with much lower cost. Now, my question, what can our next-generation Singaporean fresh graduates do, than those countries mentioned yet to? Also goes to many staff with the business-as-usual SG&A roles, how to keep them from moving into Thailand and Malaysia?

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Shahrukh Khan is recognized for his wit, humor, and charm. In this context, we've fine-tuned LLamav2 to respond briefly, in a crisp, witty, and humorous manner, akin to SRK himself. We've named it SRKGPT. For detailed insights into the fine-tuning process and the creation of the dataset to emulate SRK's style, please refer to the video in my channel for a comprehensive understanding. Video Link: youtu.be/gYPwx0DR7zc  Channel Link: youtube.com/@datatrek #datatrek #datascience #machinelearning #statistics #deeplearning #ai

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Shahrukh Khan is recognized for his wit, humor, and charm. In this context, we've fine-tuned LLamav2 to respond briefly, in a crisp, witty, and humorous manner, akin to SRK himself. We've named it SRKGPT. For detailed insights into the fine-tuning process and the creation of the dataset to emulate SRK's style, please refer to the video in my channel for a comprehensive understanding. Video Link: youtu.be/gYPwx0DR7zc  Channel Link: youtube.com/@datatrek #datatrek #datascience #machinelearning #statistics #deeplearning #ai

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If you are a parent, you probably know this scene from the latest season of the hit tv show, Bluey. The episode, Cricket, is more than just a children's show meant for entertainment. It’s a masterclass in dedication, passion, and an unwavering belief in oneself. In this episode, Rusty, a friend of Bluey, faces off in a friendly game of cricket against the neighborhood dads. Despite the dads best efforts, Rusty hits the ball out of the park time and time again. But... the episode isn't just about Rusty scoring runs; it’s about the countless hours he spent refining his technique, overcoming his weaknesses, and building resilience over time. In the episode’s final scene, and adult Rusty is shown as a professional cricket player. His story reminds us that success isn’t instant. Rather, success is earned through persistence, resilience, and the willingness to face our challenges head-on. So... let’s all take some inspiration from Rusty’s journey. Keep practicing, keep persevering, and never stop believing in yourself. . . . . . #Perseverance #Bluey #Persistance #Leadership #GrowthMindset Image source: The Bluey episode “Cricket” (Season 3, Episode 47) 

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This is unnaceptable: 1) We have the right to have a livable planet This right goes above: 1) The right of corporations and states to go biz as usual, because BAU is a death sentence to the people who did the least for this crisis to happen 2) The right to expand fossil fuel production, making impossible to stay below 2 degrees 3) The right for the middle class to drive SUVs, flight and overconsume while the rest barely or can cover their basic needs It is criminal knowing what we are heading to and do not organize, work and engage into systematic change. For those of us who can afford to think and act on this, we have to focus 100% or leverage. This is the single biggest challenge we have for the remaining of the century. We cannot fail. 🙏 Narender Kumar Varun Khanna

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Pavan Nanjundaiah, with nearly two decades of AI experience, excels in data science, engineering, and product development. Leading Tredence’s Products team, he has scaled it to 100 members and driven ML-based product innovation. Watch Pavan Nanjundaiah, Head of Tredence Studio at Tredence Inc., talk about implementing GenAI in an organization, during Data Engineering Summit 2024. #DES2024 #GENAI

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Watching Netflix fumble the Tyson vs. Paul live stream reminded me just how tough live streaming is- even for a tech giant. Frequent drops, blurry visuals, and audio glitches were hard to miss as 120 million viewers tuned in. It made me appreciate platforms like Hotstar, which have nailed live streams for Indian cricket. Live isn’t like Video on Demand (VOD). It demands real-time encoding, ultra-low latency, and the ability to scale instantly. One glitch feels magnified when it’s happening live. Netflix’s struggles highlight that even the best are still figuring it out. The real fight isn’t just in the ring; it’s in the backend—where ops teams and engineers battle to keep streams alive. Hats off to those who make live magic happen. In this game, every second counts, and the tech team is the unsung MVP. What’s your take—are live streams the ultimate tech challenge? #Hotstar #Netflix #IndianCricketTeam #TysonVsPaul #streaming #ott

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Companies are getting overwhelmed by the constant barrage of #llms and in FOMO joining the race to release a bevvy of new features bloating their product suits just like the age of the great oil rush without having the measures in place to see the outcomes of these heavy investments. A small checklist for the #llm adoption and implementation in an enterprise setup shall cover the following: ✅ Product fit and viability of the feature to enhance the experience for the user. ✅ Well-defined technical and functional measures and metrics to assess the impact of the new AI features. ✅ Customer awareness and a well-tailored communication strategy for the adoption and utilisation of any new AI feature. ✅ Traditional AI vs LLM viability for the implementation. ✅ An internal robust validation or testing strategy such as A/B testing etc before any new AI feature release with industry-aware acceptance criteria. #llms #llmops #chatgpt4 #aiml #mlops #product #gemini #openai

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🧠 Apple Intelligence is a GPT wrapper.  💤 GPT : We will not tell what Data we used Bias: Who cares 🤷🏻‍♀️ 🤷🏻‍♂️ GUP Designers / Manufacturers : we are building better G/.. Processing Unit (PU) Data Privacy and Security will be a big question with the Apple and Open AI Engagement. No one has questioned OpenAI , Anthropic ... on biases ❓ All LLMs are biased towards the origin of the open-source data, the mindset of the authors, and people who can write/speak English and had early access to the internet. All LLMs exhibit biases stemming from the data they were trained on, which is often skewed towards Western, English-speaking sources and perspectives. This can lead to a lack of knowledge or misrepresentations about other regions, cultures, and languages, particularly those from the Global South like India and Africa. The biases in LLMs are a significant issue that needs to be addressed through more diverse and representative training data, as well as techniques like prompt engineering and human oversight. Relying solely on existing models without accounting for their limitations and biases can perpetuate harmful stereotypes and marginalize underrepresented groups. Hope Apple and Open AI collaboration bring some solutions towards. Sources for further digging: https://lnkd.in/gDAJkgei https://lnkd.in/gPYStYEi https://lnkd.in/gB6H3-wj

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Founded in 2000 by🌟 Srikanth Velamakanni ,🔥 Pranay Agrawal and 🌟Ashwath Bhat ,🚀 Fractal offers artificial intelligence and advanced analytics solutions to Fortune 500 companies. 🚀🌟Fractal To File DRHP By September For $600 Mn IPO, Eyes $3 Bn Valuation🚀🌟 🌟Fractal's IPO Ambition: Fractal is set to file its Draft Red Herring Prospectus (DRHP) by September for a $600 million Initial Public Offering (IPO), targeting a $3 billion valuation. This bold move showcases the company's growth and vision for the future. 🌟Visionary Founders: Founded in 2000 by Srikanth Velamakanni, Pranay Agrawal, and Ashwath Bhat, Fractal has been at the forefront of artificial intelligence and advanced analytics solutions. Their dedication and foresight have propelled the company to serve Fortune 500 companies worldwide. 🌟AI and Analytics Leadership: Fractal's commitment to leveraging artificial intelligence and advanced analytics demonstrates its leadership in the tech industry. Their solutions empower businesses to make data-driven decisions, driving innovation and efficiency. 🌟Global Impact: With clients among the Fortune 500, Fractal's influence extends across various industries, proving the universal applicability and necessity of their cutting-edge solutions. Their journey inspires others to think big and strive for global impact. 🌟Perseverance and Growth: The founders' journey from starting Fractal in 2000 to preparing for a major IPO is a testament to their perseverance, strategic vision, and ability to navigate the evolving tech landscape. Their story encourages aspiring entrepreneurs to remain resilient and adaptable. 🌟Empowering Businesses: Fractal's advanced analytics solutions enable companies to unlock the full potential of their data, leading to smarter decision-making and enhanced business outcomes. This empowerment is a key driver of their success and a source of inspiration for other tech innovators. 🌟Strategic Milestone: The upcoming IPO is not just a financial milestone but a strategic move that will allow Fractal to scale further, innovate faster, and expand its market presence. It highlights the importance of strategic planning and execution in achieving long-term goals. 🌟Inspiring Future Entrepreneurs: Srikanth Velamakanni, Pranay Agrawal, and Ashwath Bhat's journey with Fractal serves as a powerful example for future entrepreneurs. Their success story demonstrates that with vision, dedication, and a focus on innovation, it's possible to achieve remarkable heights. ✅️Share Your Startup Story 🚀📲 https://lnkd.in/ggir3Qap ✅️visite our website🌐 https://lnkd.in/dad4nHP4 #Fractal #AI #AdvancedAnalytics #IPO #TechInnovation #SrikanthVelamakanni #PranayAgrawal #AshwathBhat #StartupSuccess #GlobalImpact #BusinessGrowth #Entrepreneurship #DataDriven #Fortune500 #Inspiration #Motivation #scoopearth

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One of the concerning facts of AI usage is the suffering caused by unauthentic news feeds. I am seeing the pattern in IPL and elections more now. The bots are simply designed to manipulate content quality at the heart of it: 1. Pick a topic like “Hardik Pandya” 2. Assemble tweets on support for criticism on him thru sentiment analysis algo 3. Stitch them as an article which is passed as syndication feed “Netizens support Hardik Pandya” 4. All leading news website show an AI generated content with few liners and embedded tweets 5. The content gets linked and used as click baits to garner more publicity and virality Over a period of time this diminishes content value, quality and destroys facts as well. The fact that a single player is out of form or performing poorly is replaced by feeds showing support. No technicality discussed as well. It’s just some random load of low grade content. Gen AI will amplify it and consumes it, days are not far ahead if someone asks after 5 years the bot will reply that “Hardik Pandya didn’t perform well but netizens supported him fully”. How does this even would make sense for our future generation? While we talk about advances but there is no real means to curb the menace. In that regard what Musk is saying makes sense. Make the bots to pay hard and increase the entry barrier to next level for the sake of content quality. If you find low quality, pls do introspection, fact check and do not share in WhatsApp or other social media circle. Information consumption is also becoming a responsibility now for everyone. I could see more things coming in that area on how to consume information and live responsibly. The stakes are going to be high.

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Rajiv Gupta is a Gupta but every Gupta is not Rajiv. Similarly, ML is AI but every AI is not ML ! #datascience #dataanalytics #dataanalysis

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Coming strong into an area that's already hot - but in a way that's sustainable and beneficial to all the parties involved in the ecosystem. Download the Pincode app and if we're currently operational in your area - would love to get user feedback and experience ; Drop me a DM and I'm happy to respond. Tangential benefits of working in this area: Using phrases like "This is like comparing apples to oranges" or "It's a chicken and egg problem" when discussing an actual assortment issue 😁 #quickcommerce #pincode #phonepe

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Perplexity should be your go to search engine for any research , technical discovery or finding most relevant stuff . It's fascinating to see how well they have personalised the search results without having too many data points for a new user. #chatgpt #openai #gemini #searchai #aiml #llmops #llms

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📉 Dmart Shares Crash 8%: Quick Commerce is Changing the Retail Game! Today, Avenue Supermarts, the operator of DMart, saw its shares drop by 8%, marking a significant moment in the evolving retail landscape. The company’s Q2 results showed slower revenue growth and missed profit estimates, highlighting how quick commerce is reshaping the way we shop. 🚀 The Quick Commerce Revolution: The convenience of ordering groceries online and having them delivered in under 30 minutes has completely transformed how people live and shop. It’s not just about convenience anymore—it’s about adapting to a fast-paced lifestyle. Consumers now value time more than ever, choosing instant solutions over traditional store visits. 🛒 From last-minute meals to everyday essentials, quick commerce is giving people back their time, while putting pressure on traditional retailers like DMart to innovate. High employee costs and the rise of these new delivery models are forcing a rethink of what it means to stay competitive. Are we witnessing the future of grocery shopping unfold? P.S: DMart has it's goldmine called Dmart ready. #QuickCommerce #RetailRevolution #DMart #ConsumerTrends #FutureOfShopping #BusinessTransformation

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Introducing Saaras 1.0, state of the art multilingual speech-to-text translate model, supporting 10 Indian languages. Supports automatic language identification, and contextual biasing using prompts. Sarvam AI

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While looking for something cool to post here (after ages!), I stumbled upon this crisp talk I delivered at #ngindia2022 that got rated as one of the best talks in the event. Check out the video to see why! https://lnkd.in/gSGXzfMU Even if you don't know JS, it's worth a watch for I realised that when taught the right way, even the most complex topics can stick with us forever! 😄 #javascript #webdevelopment #software #ngindia #publicspeaking #learning

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Machine learning offers transformative predictive power across industries, but in logistics and optimization, targeted operational solutions can often deliver more immediate efficiency gains. In a recent blog, data scientists at Swiggy, India’s leading food ordering and delivery platform, shared their innovative approach to improving logistics operations. Swiggy’s business model requires in-store "pickers" to gather items for each customer order, package them, and pass them to the delivery team. As demand grew, simply adding more pickers became unsustainable. The team noticed that many orders contained similar items located near each other, but pickers often revisited the same locations for separate orders. They saw an opportunity to minimize the overall picking time. To address this, the team developed a logistics system that batches pending orders based on item similarity. Using mathematical modeling techniques, this system grouped orders with overlapping items, creating a smoother, faster picking process. This approach reduced backtracking and significantly increased picker efficiency. This is a great case study illustrating the impact of identifying core challenges and addressing them with deep business understanding and customized solutions. Enjoy the read! #analytics #optimization #datascience #solution #logistic – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gj6aPBBY    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/gVRRNfBt

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If you are attending ICPR 2024 in the next 5 days (Dec 01-05), then do visit our poster titled: "waLLMartCache: A Distributed, Multi-Tenant and Enhanced Semantic Caching System for LLMs”; my co-author Binay Gupta will be presenting it. Our system waLLMartCache advances the GPTCache framework by incorporating the following features: 1. We introduce the support for a new database Redis in GPTCache – this is used as L2 cache in our designed system. 2. Currently, GPTCache is implemented to be run on a single node which we enhance to span across multiple nodes to handle industry-scale requests and consequently, we also designed a distributed eviction manager. 3. We further create partitions for individual tenants (clients) so that these can be hosted together while maintaining semantic separations. 4. We present a decision engine (i.e., an enhanced semantic similarity checker) that decides whether to cache an LLM response based on retail business use-cases. 5. We showcase that loading FAQs (which can be set to be stored persistently in the memory) while booting the LLM cache can be a simple yet effective strategy to boost cache hits significantly. Some of these contributions have already been merged with the open-source GPTCache code. A big shout out to my other co-authors: Soumik Dasgupta, Anurag Wagh, Lalitdutt Parsai, Geet Vudata, Shally Sangal, Sohom Majumdar, Hema Rajesh, Anirban Chatterjee. #GenAI #LLMs #MachineLearning #ArtificialIntelligence #Industry #Research #Conference #Paper

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