Karthic Rao’s Post

Really well written article by the guys over at Patreon (thanks Saad Masood for helping the algorithm put this on my feed) on using semantic meaning to improve search results rather than keyword search. Should work well for creative outlets (Youtube, TikTok etc) in which words can take on different forms but refer to the same thing for example when searching for “cooking tips” and “knife skills” leads to the same creator regardless of which keyword was used

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Mike@MultiOn.ai with: Subject: Role you have specific interest and expertise in MultiOn.ai for careers page! Body: Resume or LinkedIn link (+1 for github) Short blurb on why you're the right person for the role. Watch the full clip!

There is this person who broke the Internet recently............ Yess, U guessed It right, It's Devin 😃. Devin, the world’s first AI software engineer, can write codes, create websites, and software with just a single prompt. Does this mean will it replace the software development Jobs??? Not really, as claimed by Cognition, this AI tool is not intended to replace human engineers but to assist them and make their work easier. To get the early access of Devin AI a form need to be submitted in the below link - https://lnkd.in/dYsbUGzZ #ai #devinai #nocodedevelopment #infitex #softwaredevelopment

Have You Met Devin? If not, it's time to meet now! Devin is the first AI software engineer created by Cognition Labs (https://lnkd.in/gnJD8rQF) This tool is making waves as it can handle entire coding projects from start to finish. Devin can write, fix bugs, and launch code, creating working applications independently. By using machine learning, Devin keeps getting better and adjusting, which could be a big help for development teams. So, what exactly can Devin do? 1. Code across various programming languages 2. Debug and fix errors 3. Build and deploy applications 4. Train and fine-tune other AI models Proof of Devin's Capabilities Cognition Labs claims that Devin has successfully passed practical engineering interviews at leading AI companies and has even completed real-world projects found on freelancing platforms like Upwork. The future of AI in coding Devin's development is a significant step forward in AI-powered software creation. As AI continues to evolve, it will be interesting to see how it further transforms the software development landscape. You can hire to devin for engineering work, please join the waitlist. - https://lnkd.in/g5ddfbZH What are your thoughts on Devin? Share your insights in the comments! #ai #softwareengineering #coding #futureofwork #devOps #machinelearning

🚀 Exciting News in the World of Tech: Meet Devin - The World's First AI Software Engineer! 🚀 In an unprecedented leap forward for artificial intelligence, we're now witnessing the emergence of Devin, the first AI designed to function as a software engineer. Capable of writing, debugging, and deploying code, Devin is not just a tool but a game-changer in how we approach software development. What sets Devin apart? It's not just another large language model; Devin can autonomously create functioning websites and products, outperforming state-of-the-art models like GPT-4 and Gemini. With the ability to complete jobs on Upwork, ace interviews at top AI companies, and excel in coding benchmarks, Devin is redefining what AI can do in the tech industry. But how does it work? Devin begins with a user's prompt to build a website or software program, systematically planning and implementing the solution. Equipped with its own command line, code editor, and browser, Devin tackles each task with precision, even debugging its own code along the way. Early demos have shown Devin can build entire websites and simple games in minutes, showcasing not just speed but a level of autonomy and problem-solving ability that's truly remarkable. In a test, Devin was able to solve 13.86% of open issues on Github, which is significantly higher than the performance of other AI-powered assistants such as Anthropic's Claude (4.8%) and GPT-4(1.8%.) This innovation isn't just about the technical prowess of AI; it's about the potential to transform how we build, innovate, and think about technology. Devin represents a step into a future where AI partners in the creative and development processes, pushing the boundaries of what's possible. Let's discuss! What do you think the implications of AI like Devin could be for the future of software engineering and tech industries? Could this be the beginning of a new era in AI-assisted development? To use Devin, join the waitlist through the website https://lnkd.in/gmxP486x #ArtificialIntelligence #SoftwareEngineering #Innovation #TechNews #coding #openai

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Checkout #Devin The World’s First AI Software Engineer. In Short: 🤖Devin, the world’s first AI software engineer, can write codes, create websites, and software with just a single prompt. 🤝 The AI tool is not intended to replace human engineers but to assist them and make their work easier. 💎 Devin has successfully passed engineering interviews from leading AI companies #devinAi #devin #AI

Devin by Cognition, your AI Teammate for the Future of Software Engineering. Devin is the world's first AI software engineer! Devin can code, build websites, and develop software – all starting from a single prompt. This isn't about replacing engineers, it's about empowering them. Devin acts as your tireless teammate, automating tasks and freeing you to focus on complex problem-solving. And get this - Devin even aced engineering interviews at top AI companies! To hire Devin for engineering work, you can join the wait list. https://lnkd.in/g6fKafpG #ai #softwareengineering #futureofwork #cognition

Over the past few months at Assembled, we've been exploring how Large Language Models (LLMs) can enhance our engineering workflows. One area where they've made a significant impact is in writing comprehensive tests. Traditionally, writing thorough tests can be time consuming and sometimes gets sidelined due to tight deadlines. By leveraging LLMs, we've been able to generate robust tests much more quickly—tasks that used to take hours now take just minutes. This shift has brought: - Increased adoption of testing: Engineers who previously wrote fewer tests are now consistently incorporating them into their workflow. - Time savings: We've collectively saved hundreds of hours, allowing us to focus more on developing new features and refining existing ones. - Enhanced code quality: Our codebase is better tested, giving us greater confidence in our deployments. I've shared more about our approach, including examples and lessons learned, in a recent blog post. 👉 Read more here: https://lnkd.in/gKw3djQu We're excited about the progress we're making and the insights we've gained. If you're interested in the intersection of LLMs and software engineering, or if you're passionate about building tools that transform customer support, I'd love to connect. P.S. We're hiring! Check out our open roles: https://lnkd.in/gSr_wqV7