“Netra is an excellent engineer. She consistently demonstrates great analytical skills and attention to detail. She understands big picture and she wouldn't hesitate to ask questions to get that clear. She shows great mix of problem domain understanding and technical depth. Great team player, someone who cares for people around and joy to work with.”
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Broadcasting notifications with low latency
See publicationTechniques for broadcasting real time notifications with low latency to millions of recipients, using a tiered storage system. The ephemeral notification serves as the basis for badge updates. Information from different storage systems are combined to materialize the notification into a second storage system at the right time based on user activity.
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Method and System for Ranking User Comments based on Text Quality and Community Signals
IP.com
A method and system for ranking user comments based on text quality and community signals is disclosed. The method and system uses a combination of text quality of a comment and community signals on the comment for arriving at a ranking score. The text quality of the comment is determined by extracting a set of textual features. The textual features are provided as an input to a machine learnt model to arrive at a text quality score. Thereafter, the text quality score is combined with community…
A method and system for ranking user comments based on text quality and community signals is disclosed. The method and system uses a combination of text quality of a comment and community signals on the comment for arriving at a ranking score. The text quality of the comment is determined by extracting a set of textual features. The textual features are provided as an input to a machine learnt model to arrive at a text quality score. Thereafter, the text quality score is combined with community signals to rank the comment in context of other comments.
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Peter Yang
Here's what we covered in my chat with Amplitude CPO Francois Ajenstat: 1. How I transitioned into product management 2. Why marketing and product roles might become one 3. How I coach PMs and how I think the role will evolve 4. How to make customers the most important member of your team 5. How I use AI in product and how to stay ahead of emerging tech 6. Closing words of advice for product builders Watch the full interview here: https://lnkd.in/gnmWpM2n
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Nicolas Salvy
In today's remote work environment, building a supportive and engaging culture is essential But how do you do that when you are miles apart? This article provides practical tips on how BlaBlaCar is fostering a strong collaboration culture by creating comfort zone, allowing staff members to get feedback and support in a very assertive way ! Thank you Kineret Kimhi, Yannick Hoffsess and Maxime Fouilleul for this great article :)
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May Habib
Democratizing AI app development in the enterprise — sounds scary, but so is in the inverse: holding on so tightly to the tech that you stifle innovation and change in your org. Sathish M., CIO of Ally, understands the balance: making it easy for the business to build and maintain AI apps and workflows while controlling security, infra, and AI governance. Last week, we had a conversation with Sathish, whose teams we've had as valued customers for more than a year, about how to help bring generative AI to all. At Ally, they’ve established a dedicated team to spearhead the implementation of generative AI as part of a holistic enterprise transformation. Key takeaways that resonated deeply with our audience: 1️⃣ AI for everyone: Sathish highlighted how generative AI is a game-changer because it's so accessible. "All you need to do is know English," in his words. This means that practically anyone in your business can start leveraging AI to redefine how you operate and compete. 2️⃣ More than just tech: It’s not just about adding new tech into your workflow. Generative AI is set to revolutionize business operations, making it a critical element in strategic business planning. 3️⃣ Get on board or get left behind: Sathish was clear about the urgency of adopting generative AI, stating, “If you’re not participating, engaging, and integrating generative AI, you will be left behind.” This technology is rapidly becoming essential in all areas of business, emphasizing the need for active engagement. Sathish issued a clear call to action: Generative AI is here to transform business strategies and operations, and it’s crucial to get involved now to accelerate your business’s growth and maintain a competitive edge. And check out the sick AI Studio demo that Andrew Miller on the Writer team gave during the webinar! Want to watch the full thing? Check it out here: https://lnkd.in/gB9PDFNU
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Eddy Recio
Looking for advice to handle tough times? 🚀 📕𝙏𝙝𝙚 𝙃𝙖𝙧𝙙 𝙏𝙝𝙞𝙣𝙜 𝘼𝙗𝙤𝙪𝙩 𝙃𝙖𝙧𝙙 𝙏𝙝𝙞𝙣𝙜𝙨 by Ben Horowitz isn't your typical business book—it's a raw, no-nonsense guide to surviving the toughest moments in entrepreneurship, leadership and business. Whether you're making gut-wrenching decisions or leading through crises, this book gives you the playbook for the problems no one else talks about. As a professional navigating today's business landscape, this book has been invaluable to me. #BusinessLeadership #EntrepreneurshipChallenges
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Himanshu Bamoria
Today, we're launching something that gets us closer to our vision of Helping AI teams confidently build better AI applications - Athina IDE 🔥 🧪 Athina IDE is a collaborative editor for AI teams to prototype, experiment, and evaluate LLM-powered products 🎯 Core Philosophies 1. Great AI products are a team effort: PMs, Data Scientists, SWEs, MLEs, QA teams, etc., all have to come together to build something great ...so we made sure that non-technical users can experiment, prototype, and run tests on Athina just as easily as technical users. 2. Great AI products are built around great data ... which is why the entire editor revolves around your data and gives you powerful controls like a spreadsheet. 🤔 So what can AI teams do in this editor? 1. Work with Data Like a Spreadsheet: Filter, search, sort, edit, annotate, tag, and delete data with ease. 2. Prototype complex pipelines: Add dynamic columns to run LLM prompts, execute code, make API calls, retrieve data, run transformations and more. 3. Measure AI quality: Run evaluations within the editor itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code). 4. Run Experiments: Re-generate datasets with different prompts, models, or retrieval parameters in just a few clicks. Technical users can run more complex experiments programmatically using our SDK. 5. Compare everything side-by-side: Athina IDE has a compare mode where you can compare any number of datasets side-by-side and run evaluations on all of them simultaneously. ⚡️ How Early Users Are Using Athina IDE ⚡️ 1. Testing Transcription Models: One of our early users is using Athina IDE to compare multiple speech-to-text models side-by-side using dynamic columns. 2. Creating Multi-Step Evaluations: Some teams have been creating multi-step evaluations that involve extracting structured data from LLM responses and then running JSON validation rules on it. 3. Comparing Multiple Models: Many teams are running experiments with 5-10 different models, or prompts, or retrievers + a suite of evals at once to determine the best fit for their specific use cases. We’re super excited about this - if you're an AI product builder, we'd love to know what you think! See the link in the comments - our website has some demo videos. It took months of effort from our entire team to ship this! Huge shoutout to Akhil Bisht Vivek Aditya Akshat Gupta Shiv Sakhuja 🙌
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Albert Fong
That awkward silence is coming from your robotaxi. Waymo has had its share of bumpy roads, but its parent Alphabet believes the self-driving technology is on the right path to the yellow brick road, investing another $5 billion. The self-driving company is making the right turns. Drive around San Francisco on any given day, and chances are good the vehicle that comes up right next to you will have you doing a double take. Robotaxis are commonplace in the city by the bay. Whether it's the traffic-filled streets in the downtown or the narrow streets of Golden Gate Park, Waymo vehicles are dodging traffic and avoiding pedestrians. It's full speed ahead. Waymo delivers 50,000 paid rides per week, offering a fully driverless ride-hail service in San Francisco and Phoenix, and recently expanded to Los Angeles and Austin. And soon, the service will be available for airport rides to and from the San Francisco International Airport. The road well traveled doesn't mean everyone is so accepting. While Waymo has received compliments from some, it hasn't been welcomed by others. In San Francisco, vehicles have been vandalized and destroyed along with many who question the safety of self-driving vehicles. Whichever side you fall on, self-driving can be a highly polarizing issue, and only time will tell if the perception will ever change. Alphabet is betting that the sky's the limit. While the $5 billion commitment is nothing to shake your windshield wipers at, Waymo's partnership with Chinese electric automaker Zeekr is both symbolic and substantial. Waymo's deployment of a custom-built, roomier robotaxi made by Zeekr marks a significant step forward in the company's autonomous vehicle development. Zoom, zoom, just not too much zoom. Robotaxis aren't going way. Waymo is expanding if not slowly here in the states, while other countries such as China have companies such as Baidu taking the lead in major cities. And Elon Musk is gearing up with his own line of robotaxis in the near future. For Alphabet, the challenge is not only making them more acceptable to the masses, but also addressing safety concerns. The technology isn't perfect, but $5 billion will certainly help get it there https://lnkd.in/gn3TZcPx #alphabet #waymo #zeekr #robotaxi #culture #autonomousvehicles #automotiveindustry #transportation
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