NinjaTech AI

Thank you Christopher Mims for the thoughtful chat: https://lnkd.in/gdBmHmy9 As Gadi Hutt mentioned, leveraging GPU-alternatives was difficult at the beginning (and it took a minute), but now we at www.MyNinja.ai and a lot of GenAI start-ups are off to the races with AWS Trainium, Inferentia and Amazon Bedrock (we love NVIDIA GPUs of course, but we are super excited for TRN2 to launch!). Thank you Matt Garman Matt Wood Nafea Bshara and the rest of the AWS team for your trust in NinjaTech AI. It's been so delightful collaborating with you & your awesome team. CC: Amazon Web Services (AWS) AWS AI AWS Startups

We are super excited to be showcased as one of marquee AWS customers in the Generative Ai Space. Check out this post on how www.myninja.ai offers AI Agents that make you more productive and simplify everyday tasks. By leveraging AWS infrastructure and services we are able to keep our infra costs low and pass down those cost savings to our customers in an effort to give an affordable personal Ai to everyone. With many thanks to our partners for their immense support on making this possible. cc: Amazon Web Services (AWS), Matt Wood, Swami Sivasubramanian, Nafea Bshara, AWS Startups, AWS AI, Samantha Lisowski, Shane Thompson, Kamran Khan, Gadi Hutt, Zachary Naiman, Hunter Carlisle, Cole Calistra, Tyler Osterberg, Babak Pahlavan, Arash Sadrieh Blog Post Link: https://lnkd.in/dnY_qxSi

Amazon Web Services (AWS) has been a key partner in our mission to help everyone be more productive by democratizing access to the best AI agents and foundation models in the world. Learn more about how we're leveraging AWS' cutting edge technology to accelerate AI in their latest article.

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Thank you for the incredible partnership Amazon Web Services (AWS)!

The day has arrived! Today is the last day to apply for the AWS Generative AI Accelerator. 🤖💡 As you put the final touches on your applications, meet a few key members of the AWS Startups Gen AI Team. We're committed to supporting the future of #generativeAI innovation. 📺 Watch as Nisha Nadkarni, AWS Sr. Solution Architect; Brenna (Jensen) Shubin, AWS Sr. Account Manager; Samantha Lisowski, AWS Sr. Account Manager; and Babak Pahlavan, founder, CEO, and CPO of NinjaTech AI, share insights into this team of specialists dedicated to your growth. Apply now: https://go.aws/3Lt5Wyy

www.MyNinja.AI reached a new milestone: 722k MAUs and 55k DAUs (thnx to all the Ninja fans around the world! You make us nervous...I mean excited! 😅 ). Our AI Agents have successfully completed 1.52M+ tasks since our launch on May 21st. An observation: Right after we launched our ImageGen agent, DAUs started to move up faster too (I'll post the graphs below). The seamless interoperability between our agents (which don't use GPUs but instead use AWS AI TRN ) and external models (e.g. Bedrock's Amazon Titan, Stable Diffusion and Dall-E) seems to have hit the right customer need. If you're curious, the order of highest used agents are: ImageGen > Advisor (for writing help) > Coder > Researcher >Scheduler. The orchestration of everything in one unified UI is holding up well. We're learning in real-time that no one-model is perfect and together-is-better (validating what Matt Wood was mentioning during the AWS keynote last week). Also, we just rolled out a few new cool things: 1. Our brand new V4.0 UI: it's even more modern & optimized to focus on results mostly. Check out the "Dark" mode; it's pretty neat! 2. V1.0 of File-upload: you can now upload PDFs and text files and ask our model or any of the 24 external models we support to analyze it and ask questions about it (our own model's context length is only 8k for now, but you can fully take advantage of Gemini 1.5's sweet 2M context window along with GPT4's 128k and Sonnet 3.5's 200k!). We'll be adding more file-upload features soon. 3. For Pro users: remember, you get access to 24 external models + Deep Researcher and you only pay for the cost of each tasks (you can see how much each task costs by looking at "account activity" from the main menu). 4. We fully implemented the latest features in Neuron SDK 2.19 (batch-size 16) and we're now using 50% less TRNs despite having doubled our user based in the last 2 weeks (literary, our AWS bill be a lot less this month despite serving more users; this is weird and awesome :D). You can read more about this here: https://lnkd.in/gifM9FKY (big thnx to Gadi Hutt Kamran Khan Samantha Lisowski Brennan Demro Nafea Bshara Swami Sivasubramanian Matt Wood and their awesome teams). Check out the Pro version of the product to get access to all the features (and don't forget to give us feedback from inside the product!): https://myninja.ai/company

www.MyNinja.AI hit 450k MAUs yesterday (thank you!) and to celebrate, we just rolled out our latest agent: "Image Generator" Our latest NinjaLLM (trained using AWS AI Trainium) can now seamlessly interact with Amazon Titan, Stable Diffusion and OpenAI's DALL-E 2 & 3 to create AI images for you: One unified interface, one billing, and you just pay for costs of each task (you get lots of images this way and you can easily compare the outputs). Amazon Bedrock was especially helpful because we were able to easily integrate with 2 ImageGen models (Amazon Titan & Stable Diffusion) and they work pretty fast. Also, Amazon Titan's quality was a pleasant surprise to us (especially for work related images or natures/animals). Huge thanks to Matt Garman Matt Wood Jeff Barr Swami Sivasubramanian Dan Grossman Nafea Bshara Gadi Hutt Kamran Khan Samantha Lisowski Roslin You Danny Meurer Paul Bernard and their teams for helping us land these new agents pretty fast (I'm not sure if many people know how great Amazon Bedrock is; it's pretty awesome! aws.amazon.com/bedrock). Lastly, the video below was from a real-world use-case 😊 (see the agents interacting with each other while keeping context). P.S: Don't forget to give us feedback from inside the product's "headset" icon. We're iterating daily and pushing code to production weekly! 🤖 P.P.S: We move fast because we have an epic team of Ninjas that lead the way at lightning speed: Sam Naghshineh Arash Sadrieh Kenneth Ho Andres Portillo Divya Chirasani Peter L. Nath Pearson Kurt W. and everyone else.

www.MyNinja.ai hit 400k monthly-active-users (MAUs) last night (thank you everyone! you make us nervous and excited 😅 ) and we just rolled out a new version last night. Here are the goodies: 1. Deep Researcher 2.0: more accurate multi-hop results (this is in the Pro version). 2. More Robust Amazon Bedrock support: Login to www.MyNinja.ai, upgrade to Pro, and you get access to 20 models from Bedrock/OpenAI/Google all in one interface! 3. Login with FB: in addition to Google, Amazon, Apple, now we support login with FB. 4. More optimized mobile UI: we've evolved our design language and you'll see us further simplifying our interaction flows even though our features are growing. 5. In honor of 4th of July, we're rolling out our $0.99 Pro version promotion (you'll get $9 free credit to use Ninja Pro!): you'll have access to Deep researcher, 20 external models, faster responses and more to come. 6. Leveraging Neuron SDK 2.19: we got early access to the latest Neuron SDK from AWS AI team and it's awesome! Magically, our speed improved and we needed 30% less of our Trainium fleet (speed + throughput improved!). Huge thanks to Matt Wood Nafea Bshara Gadi Hutt Kamran Khan Tyler Osterberg Samantha Lisowski and their teams! (remember, our models don't use GPUs and they keep getting optimized with each version release of the Neuron SDK). Next week: we're rolling out our first version of Image Generation 📷 🤗

www.MyNinja.ai is powered by NinjaLLM which is fully trained & served by AWS AI chips (Trainium). Our latest NinjaLLM achieved a breakthrough in accuracy based on NQ (NaturalQuestions) and HotPotQA (multi-hop) benchmarks which are essential for our Researcher Agent. My partner and Chief Science Arash Sadrieh with our scientists Tahir Azim Tengfei Xue along with our partners at Amazon Web Services (AWS) penned a blog post explaining how we did it. If you are an AI/ML nerd like us, you'll probably enjoy reading it: https://lnkd.in/gR7bi5af The cool thing is, Arash Sadrieh and team achieved these results by spending less than $30k for all of our training passes and no GPUs were involved (if we had to use GPUs, we estimate it would've cost around $200k). The combination of NinjaLLM and the full async/sync system that my other partner and CTO Sam Naghshineh architected, make www.MyNinja.ai a task-oriented agentic (beautiful) system. Give our Deep Researcher in the Pro version of www.MyNinja.ai a try, you might like it! :D (Feel free to use the coupon Code: MyNinja10) CC: Matt Wood Swami Sivasubramanian Jeff Barr Gadi Hutt Nafea Bshara Kamran Khan Brennan Demro Danny Meurer Dan Grossman Roslin You Faraj Aalaei Laszlo Bock Kris V. P.S: Amin Vahdat Ali Ghodsi you are the experts of this field; super curious to know your feedback as well 🙏