amit paka ☕️

LinkedIn team (Juan Pablo Bottaro Karthik Ramgopal) shared a helpful deep dive into their deployment of an LLM-powered job search assistant. Highly recommend this read! Few highlights:  💡 Relatively easy to setup RAG-based pipeline. Achieved 80% of the basic experience in 1 month, then 4 more months to reach 95% mark. 💡 Evaluating the quality of application outputs is hard. I hear this from many enterprises developing LLM applications. (check out Okareo by Matthew Wyman Boris Selitser) 💡 Balancing latency with quality is important. While certain techniques like Chain of Thought could improve accuracy and reduce hallucinations, it will increase response times, which can affect user experience. https://lnkd.in/gtGGwf5P #largelanguagemodels #RAG #EBR #LLM #ml #ai #hallucinations #evaluations #

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I had a lot of fun recording a podcast episode with Shiva Singh Sangwan. We discussed the evolution of Humba Ventures & Susa Ventures; tips for raising and building a fund; how to improve investment sourcing & picking; the role of luck in investing, and so on. https://lnkd.in/eiqsStej

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I really like this PMF Framework from Sequoia. https://lnkd.in/gT2nWttx

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Can’t agree more on this as we are seeing more early stage startups building more useful AI-native agents instead of copilots on existing workflow.

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第3弾は、Y CombinatorのWebサイトで「Healthcare」で分類されている、メンタルヘルス×モニタリング（1社）、企業の医療費削減（1社）、在宅介護支援（1社）、カップル向けAI恋愛アプリ（1社）について、スタートアップについてそれぞれまとめました。ぜひnoteをご覧ください。 ブログ記事はこちら（Here is the blog post）↓ https://lnkd.in/gT-RcVVJ *Although the articles are in Japanese, please feel free to contact me in English if you are interested in the content. I would like to introduce companies from the Y Combinator Winter 2024 Batch. Part 3 summarizes each of the startups categorized under "Healthcare": One in Mental health x monitoring, One in Reducing corporate healthcare costs, one in Home care support, and one in AI relationship app for couples.

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Vishal Sachdev highlights the strategic integration of open source and proprietary tech in architecting tech stacks, developer ecosystems and resulting business models. The world class companies effectively balance value commoditization in open source and value capture in proprietary tech. This is the strategic challenge for companies operating in #blockchain and #AI. I believe those who operate at the intersection of blockchain *and* AI stand to win this strategic battle...

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Instacart is a market leader when it comes to leveraging AI tools to boost productivity at work. I had an amazing conversation with JJ Zhuang, Instacart’s Chief Architect, who has shepherded over 50 AI-driven initiatives to market across the org. We explored what catapulted Instacart to the forefront of AI integration, supporting radically diverse use cases across various functional areas. One striking insight (echoed by Ethan Mollick and others elsewhere) is that you often don't need specialized tools for specialized work. Frontier models like GPT-4 can seamlessly adapt to a wide range of functions and use cases. They're not just for engineers; they're incredibly versatile tools used by marketing, comms, and legal teams. From generating code to proofreading and ideation, GPT-4 empowers every department to leverage AI for enhanced productivity and innovation. By integrating LLM’s like GPT-4 into their workflows, teams can streamline processes, automate repetitive tasks, and unlock bandwidth for new creative possibilities. How can you harness the power of AI in your own work to boost productivity? Share your thoughts below 👇 Want to hear more insights from JJ? Check out the full podcast episode by clicking the link in the comments.

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Part II of our blog is out! In this installment Abde Tambawala and I explored usage metrics and pricing models across different AI modalities and discussed how traditional User-based subscriptions will need to be supplemented with usage metrics. Take a look and let us know what you think! #pricingstrategy #ai #monetization

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During yesterday's LibreQoS APNIC webinar, I posed the question: won't more bandwidth solve these problems? As Herbert Wolverson said, yes, more bandwidth is good, but, still these problems remain if queueing is done incorrectly. Here's my take on why bandwidth alone is not as good as bandwidth + good queueing policies: Generally it was believed that 'data is important, so don't throw it away; hang on to it and send it later'. In practice, this has proven to be suboptimal as two issues may emerge: 1) latency increases for some flows due to heavy demand from other flows using the same bottleneck link, 2) even a single flow can have excessive latency due to aspects of typical TCP behavior (referred to bufferbloat) when the buffers grew large enough that the data being buffered was retransmitted anyway. It turns out that not all data is equally important. Active Queue Management is the art of deciding priorities, both in deciding what data to throw away, but also in allowing some later arriving data to be transmitted ahead of data in another connection that arrived before it. These problems have been studied, and good solutions have been found by using certain queueing policies in routers and switches, referred to as “fq_codel’ and “cake”. These track the different flows not by classifying the data, but by watching the behavior. Flows that send relatively little data (DNS lookups), or at a measured pace (video chat) have priority over flows that send a lot of data as quickly as possible (App and System updates, Video and ISO downloads).

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Look forward to sharing ideas on how to power agentic workflows to make GTM teams become more efficient with K. Matthew Dupree and Amrutha Gujjar and others. You should book a spot if you are curious to learn about: 1. Strategies for transitioning users from a configuration-focused mindset to an interaction-focused mindset. 2. Techniques for designing products that foster trust, while carefully balancing the level of detail exposed to users to avoid overwhelming them. 3. An overview of emerging UI/UX design frameworks that are well-suited for agentic systems and environments. #plg #productledgrowth #agenticdesign #

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In this week's episode of the Mobile Dev Memo podcast, I speak with notable X personality Trung Phan about the evolving social media landscape, and how to tame the mayhem and pandemonium of X. https://lnkd.in/dVHMzbui

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DePIN & RWAs dominance isn't as far off as most people think. Across every innovative cycle, three fundamental pillars emerge: foundational technology development, proliferation of infrastructure, and a surge in application development. As we venture into the third cycle, DePIN and RWA protocols are poised to become market leaders paralleling the dominance witnessed by infrastructure projects from 2015 to 2024.

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I like this idea of "technical taste". It gets into where software engineering is as much creative art as it is science. Four great takeaways (IMHO) for software devs in this era in particular: 1. Aspiring engineers should cultivate a sense of curiosity, experiment with different tools and technologies, and embrace a mindset of continuous learning. 2. AI has the potential to streamline processes and enhance productivity for engineers, but it may also lead to disruptions in traditional software development workflows. 3. Developing technical taste and judgment is essential for making informed decisions about which technologies and approaches to pursue. 4. Collaboration and open-mindedness are key to leveraging the full potential of AI and staying ahead of technological advancements. I also really liked these two quotes from Sam Schillace: 1. "The right time to do something is when you have that feeling in the pit of your stomach that's like, 'oh, this is a great idea and it's going to suck to build because nothing's ready yet.'" 2. "Technical taste is like, 'how well have you consolidated that set of experiences and heuristics into judgment that you can apply accurately when you see new things?'" 3. "It may be the case that very small teams can do very large projects, or like we were talking about before, it may be the case we're just going to get really ambitious about what we try to do with the same size of teams, which is kind of where I would put my money." Great job on continuing to put out great episodes, Brett Berson and team First Round Capital! #ai #engineering #softwaredevelopment

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Are you trying #Gemini for trip planning? How goes it? Several companies are now integrating Google's AI into their travel services: 🌍 Alaska Airlines is testing a trip planner with OpenAI tech, with another version coming soon using Google's AI. 🏨 IHG Hotels & Resorts will release a trip planning tool in their One Rewards app, focusing on the "dreaming phase" of travel and future integrations for events and bookings. ✈️ Sabre Corporation introduced SabreMosaic, an AI-powered retail platform for airlines, offering personalized retail experiences, real-time airfare tools, delay management, and market analytics. Anyone played with this? #AI #traveltech #googleAI #innovation #travelplanning https://lnkd.in/e96zwDsu

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Want a front-row seat to the frontier of tech? We’ve got the role (or two) for you! We’re expanding our frontier-tech team at Blackbird by hiring a Frontier Tech Investments Associate and Foundry Fellows! Got questions? We've got answers... 1️⃣ What are the roles? 🧪 Associate = a full-time VC investment gig in our Blackbird Investments team, working directly with me. We’re looking for someone with a science and/or engineering background and more curiosity than they can handle. You’ll grow your own investment brand and practice, support our portfolio founders, and will help build Foundry, our early-stage frontier-tech accelerator. ✨ Foundry Fellow = a casual/contract gig in our Blackbird Investments team, ~15h per week for 3 months. The Fellowship is ideal for PhD students and ECRs who want to learn more about startups and VC. You’ll go deep on emerging areas relevant to your expertise (or curiosity!), get a front-row seat to groundbreaking companies in those areas, build out your non-academic network, and develop a solid writing practice. 2️⃣ Why are you hiring? We love frontier tech, and we’re ready to grow our team. 3️⃣ Wow, it’s so great that you’re starting to look at deep tech! Look, we get it: we don’t make a lot of noise about our frontier tech investing. Buuuut we’ve been deep-tech investors since we backed Tim Kentley-Klay to found Zoox back in 2014—we’ve been on incredible journeys with PsiQuantum (building the world's first utility-scale quantum computer right here in Australia!), Inventia Life Science (transforming drug discovery with high-fidelity cell models), Remedy Robotics (surgical robots for remote endovascular procedures), Opto Biosystems (minimally-invasive neural implants to treat cancer), and more. We believe that frontier technologies, and great frontier-tech investing, will be part of the solutions to the greatest problems humanity faces today. 4️⃣ When do applications close? May 31st at 11:59pm AEST. 5️⃣ I have more questions! I’m sure you do! Clare Birch and I are hosting an AMA to answer any and all questions about these roles. Want to know what a week in the life of our team looks like? What’s keeping us up at night? What our ideal candidate looks like? Come along and find out - registration link in the comments 👇 Apply for these roles: Associate - https://lnkd.in/gCfj4EUJ Foundry Fellowships - https://lnkd.in/gj6ATZVZ If you know anyone that we should meet, send me their details! Cameron Elise Ben Andrew Robin Joseph Adelaide James Olivia Lucinda Raghav Jesse Christie Mohamed Tom Amee Pablo Haya Loong Hon Joshua Benjamin Megan Harry Denzil Matthew Diana Daniel Tom Deanna Justin Amar Lilly Stone Thomas

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💡 Why do we need so many evaluation tools for LLMs? As engineers, we build 'production-ready' LLM products using these metrics. But what happens next? How do we maintain control and ensure reliability? At Feedback Intelligence, we’ve crafted a cookbook to keep your LLMs reliable and aligned with user expectations. 🍲 📖 Give it a read and let’s chat!

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This is quite a piece on accusations of unethical pay-to-play within the #cyber #VC ecosystem. -Guaranteed first-year sales for portfolio companies -Formal loyalty program for CISOs -Points awarded within the program for CISO commitment level to portfolio companies (meetings, PoCs, product purchases) -Share of GP fees for CISOs in the loyalty program https://lnkd.in/gDta7Gp7

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Watching Vinod Khosla talk with Rocky Yu about exponentials at the AGI House. Vinod said you could see the future of the Internet in the 1970s if you watched carefully. So, here are my guesses on what new fields AGI will revolutionize in what order: 1) Creative industries: image generation, music generation and movies 2) Robotics: foundational models will enable much better robotics to be deployed much more widely 3) Biotech: the creation of new drugs, better therapies etc…

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Three years ago, Stage Venture Partners backed Ariyan Kabir, Brual Shah , and Satyandra K. (SK) Gupta's startup, GrayMatter Robotics. Today, GrayMatter revealed their $45 million Series B, led by Wellington. In the past three years, GrayMatter's robots have handled 7.5 million square feet of products, streamlining tasks such as sanding, grinding, and finishing high-performance surfaces. This innovative automation addresses urgent labor shortages, enabling U.S. manufacturers to meet demand efficiently. Technology like GrayMatter's is crucial for American factories, and the company is just scratching the surface in revolutionizing high-tech production processes. https://lnkd.in/gJaUfDZq

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