Reka AI

📅 Stoked to share that we'll be at MLOps World Conference & Expo and Generative AI World Summit this November 7-8 at Austin. 🎙 If you are at the conference, be sure to pop by and hear from David Cheng. Discover: 🔷 Why multimodal agents that can see, hear, and speak is the future of AI; 🔷 the difference between multimodal and unimodal; and 🔷 finally, how you can use multimodal models in your work. ✨ Discover how multimodal AI will revolutionize industries, and the way machines understand and interact with the world around us. Tina Aprile, CMP David Scharbach Faraz Thambi

✨ The efficiency and accuracy of inference models play a pivotal role in determining the practical usability of AI solutions in real-world applications. ✅ In a recent benchmark conducted on Oracle's Cloud Infrastructure (OCI) on our models' performance, such as throughput, latency, and multimodal evaluation metrics, Reka Flash and Reka Core demonstrate excellent performance, with Reka Core performing exceptionally well on tasks requiring deeper cognitive processing and reasoning. 🎉 Learn more here: 👉 https://lnkd.in/dfKV8G5R

We know how challenging it is to retrieve information buried in unstructured multimodal data. 🚀 That's why, we are excited to join forces with MongoDB to help companies test and optimize multimodal RAG features for faster production deployment. 🤝 Our joint solution will streamline the whole RAG development lifecycle, speeding up time to market and helping companies like yours deliver real values to your customers faster. Read more ➡️ https://lnkd.in/gZ2spU8H #Reka #MongoDB #RAG #multimodalAI

Dani Yogatama, our CEO, had the opportunity to share about the work we do at Reka, our multimodal AI models, his perspectives of the future of AI, as well as how we use AMD Instinct MI300X and ROCm software at AMD's Advancing AI event. The AI space is evolving rapidly. Contextual understanding across modalities, coupled with superhuman reasoning will lead to self improving systems. That is why we have developed multimodal models that understand text, images, videos and audios, and reason with high accuracy for a wide range of enterprise and consumer applications. At Reka, we continuously look for cutting-edge technology to fuel our world-class AI models. Our partnership with AMD will without a doubt, deliver more value for our customers. Thank you for having us, Vamsi Boppana and AMD! We are grateful, and honoured to be part of the Advancing AI panel, along with Essential AI, Fireworks AI, Luma AI #TogetherWeAdvance Dmytro Dzhulgakov Amit Jain Ashish Vaswani Lisa Su Vamsi Boppana

💡 How much do you know about Reka multimodal AI models and how can our multimodal AI models benefit your industry? 🔖 We've made updates to our Reka Flash ⚡ model. Read more about the updates here https://lnkd.in/gqk_EbEX

We have been busy the past few months and we are thrilled to share an exciting update! 🎉 We have a new version of Reka Flash ⚡, our powerful 21B model that supports interleaved multimodal inputs (text 📄, image 🖼, video 📽, audio 🎧). This update now brings you significant capability improvements on: ☑ multimodal understanding, ☑ general reasoning, ☑ agent building blocks, and ☑ speech input-output. This makes our models more useful across a wide range of practical use cases. The new Reka Flash ⚡ is available today on Reka Chat and Reka API. It can also be deployed on-premises or in a private cloud setting. 👀 Check our blog for more details. https://lnkd.in/gqk_EbEX Try Reka Flash ⚡ Reka Chat: https://chat.reka.ai/ Reka API: https://lnkd.in/gV9ZfF6Q ➕ In addition, we are partnering with NVIDIA to package this model as NVIDIA NIM, which optimizes the model for higher throughput and lower latency. The NIM microservice will soon be available on ai.nvidia.com.

🙏💛 We were honored to attend Alibaba Group’s flagship conference, Apsara 2024, last week. It was inspiring to see so many organizations come together to discuss the transformative power of AI. 😊🙌 AI is moving rapidly, and businesses can no longer afford to take a wait-and-see approach. While Generative AI can be overwhelming, it doesn’t have to be. We hope to partner with you in your AI journey. Explore our playground to learn how you too can take advantage of Gen-AI and add value to your businesses. 👉 https://chat.reka.ai/ Alibaba Cloud Ethan Y. Eric Chen Suzanne Chen Che Zheng Kenneth L. Dongliang Guo Bowen

🤝 At Reka, we are always seeking industry leaders to partner and collaborate with, so that we continue to deliver superior models and bring value to our customers. Our collaboration with Shutterstock is a testament of our commitment. 💫 Read more about how partnership and how Reka enriches Shutterstock data with our models. https://lnkd.in/g9gbaiqJ

💡 Retrieving critical information buried in unstructured or semi-structured formats can be challenging. Imagine having to extract financial data hidden in a chart and table, nestled deep within a 200-page PDF report. You can now use our multimodal AI and MongoDB Atlas together to make your business’ unstructured data searchable and useful in RAG-based AI applications. 💻 In our latest blogpost, we demonstrate how Reka’s multimodal AI and MongoDB Atlas can be used together to make your business’ unstructured data from charts, images and videos searchable and useful. https://lnkd.in/g-wVf4bm Soumya Ranjan Pradhan Ashwin Gangadhar Eric Chen Hai Pham

💡 Retrieving critical information buried in unstructured or semi-structured formats can be challenging. Imagine having to extract financial data hidden in a chart and table, nestled deep within a 200-page PDF report. You can now use our multimodal AI and MongoDB Atlas together to make your business’ unstructured data searchable and useful in RAG-based AI applications. 💻 In our latest blogpost, we demonstrate how Reka’s multimodal AI and MongoDB Atlas can be used together to make your business’ unstructured data from charts, images and videos searchable and useful. https://lnkd.in/g-wVf4bm Soumya Ranjan Pradhan Ashwin Gangadhar Eric Chen Hai Pham