Longtime leader in AI lifecycle data and innovative new AI company join forces to empower enterprises with customized foundational models
Kirkland, Washington — May 3, 2023 — Appen Limited (ASX:APX), a global leader in data for the AI lifecycle, today announced a partnership with Reka AI. Reka AI is a new AI company emerging from stealth mode, delivering a unique combination of Appen’s world-class data services with Reka’s data services. Proprietary multimodal language model.
Innovations like ChatGPT have resulted in a surge in large-scale language model implementations. With LLM, businesses can improve operational productivity and deliver new and engaging experiences to their customers. However, large organizations will encounter significant friction during implementation as it is not an enterprise out-of-the-box solution. To take advantage of LLM’s capabilities, companies must fine-tune their base models to suit their use cases, and continuously evaluate and monitor the performance of these models in the real world.
With 26 years of expertise in AI training data and language, Appen is uniquely positioned to accelerate an enterprise’s LLM journey, enabling them to unlock the full potential of generative AI in their business. Reka AI’s advanced proprietary algorithms are developed with deep industry expertise from a team that has led the biggest breakthroughs in AI research at companies such as Google Brain and DeepMind.
With this powerful combination, Appen and Reka have developed the most effective and comprehensive enterprise-grade generative AI solution to date. Companies can now create and own enterprise-grade production models that meet their specific deployment requirements.
Appen CEO Armughan Ahmad said: “The industry is now limited to relying on public APIs, leaving organizations vulnerable to data breaches and privacy concerns for sensitive data. It gives enterprises the ability to secure their LLM applications in a way that was never before possible.”
Bringing your generative AI solution to market requires deep expertise in data curation to leverage and complement internal datasets, human feedback to improve performance, and Appen’s expertise in robust model evaluation. I need a platform. , that her LLM will be tested and deployed more quickly. Reka’s proprietary algorithms then allow Yasa to be rapidly customized for many use cases. This partnership allows companies to have a full-stack solution for using Yasa for their enterprise use cases.
Reka CEO Dani Yogatama said: “By partnering with Appen, our customers can further benefit from our world-class expertise in data services, which streamlines the process of creating production-ready applications.”
For more information on how this collaboration gives companies ownership of their models and data and addresses their specific use cases, please visit appen.com.
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About Appen Co., Ltd.
Appen is the global leader in AI lifecycle data. With over 25 years of experience in data sourcing, data annotation, and human model evaluation, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes his over one million skilled contractors in over 70,000 locations and speaking over 235 languages in 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and government the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices around the world.
About Reka
Reka is a full-stack model provider that provides solutions for creating enterprise-level operational models from foundational models. Prior to Reka, their team was responsible for some of the biggest breakthroughs in AI research with his DeepMind, FAIR and Google Brain. Their proprietary multimodal large-scale language model is trained to read text, images, and tabular data. Reka uses proprietary algorithms to quickly and cost-effectively customize these models for any data and use case. A unique approach to personalization and compression gives the client the versatility to meet various deployment constraints such as quality, latency, and data privacy requirements.
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