We help our clients make informed decisions around cloud native and open source technologies, as well as public cloud services. We empower organisations big and small in adopting these technologies through strategy, proof-of-solutions, delivery teams and training. We work in partnership, sharing experience, insights and skills – when our job is done, our clients are able to continue operating independently and without relying on us.
Developing and running distributed systems productively at scale is hard. At OpenCredo, we are experts in designing and implementing user-friendly platforms to support your development and operations processes. We choose appropriate technologies, tools, best practices and we deliver efficient platforms to make you move faster and safer.
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When building microservices on cloud native platforms like Kubernetes, or serverless platforms with low operational burden, we can evolve new kinds of systems and delivery processes. These open up new opportunities for business including rapid innovation and operational agility. We have deep experience with cloud native technologies, public cloud and serverless and helps clients deliver solutions most appropriate to their needs.
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With increasing demands from Big Data, Streaming and Machine Learning applications, we face the growing challenge of ensuring data is in the right place, in the right format, at the right time. At OpenCredo, we design and implement data systems which are reliable, secure and scalable - enabling you to derive insight and deliver solid analytical capabilities.
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At OC we bring a design thinking mindset to the backend. We don’t believe in the cookie-cutter approach so we use core Design Thinking principles to guide the way we work to deliver value to both users and business.
We partner with some of the world’s leading technology organisations. This allows us to develop deep relationships with them: to better understand their technology, future plans and ultimately, how to make the technology work for you.
How to use LLMs to Generate Coherent Long-Form Content using Hierarchical Expansion
As impressive as they are, Large Language Models (LLMs) face difficulties when creating long-form content, primarily due to token limitations and inconsistencies in the output…
