The Evolving Landscape of Large Language Model (LLM) Architectures
The field of natural language processing (NLP) has witnessed tremendous progress in recent years, driven by the emergence of large language models (LLMs). These models have revolutionized the way we approach NLP tasks, from language translation and text summarization to question answering and text generation. In this blog post, we’ll explore the evolving landscape of LLM architectures, their history and current trends.
read moreUnderstanding Large Language Models (LLMs): Key Concepts and Terminologies
Large Language Models (LLMs) have changed the field of natural language processing (NLP
), powering applications from chatbots and virtual assistants to machine translation and content generation. Models like OpenAI’s GPT-4, Anthropic’s Claude 3.5 Sonnet or Google’ Gemini 1.5 have demonstrated remarkable results in generating human-like text, performing complex reasoning, and even passing professional exams. But what exactly are LLMs, and what are the key concepts that underpin their functionality?
read moreIn today’s rapidly evolving technological landscape, the shift from building cloud-native platforms to embracing platform engineering has become more critical than ever. As organizations continue to adopt cloud-native architectures and strive for platform maturity, understanding how to build, maintain, and evolve these systems over time is essential. This blog post explores key principles that underpin platform engineering in the context of building and evolving cloud-native platforms, emphasizing how maturity becomes increasingly important over time, and offering insights into how you can keep your platforms effective throughout their required lifespan.
read moreIn recent years, Platform Engineering has emerged as a cornerstone for building and maintaining the infrastructure that powers software development. It focuses on developer experience and ensuring that the paltform is efficient, scalable, and resilient. As artificial intelligence (AI) continues to revolutionise the tech landscape, a new frontier has emerged: AI Engineering. This discipline not only brings AI to the organisation but also adapts the principles of Platform Engineering to meet the unique demands of AI systems. Essentially, AI Engineering is leveraging the proven strategies of Platform Engineering and tailoring them to the complexities of AI technologies.
read moreThe technological landscape is ever-evolving, presenting organisations with both unprecedented opportunities and complex challenges. From the rise of the internet to the shifts toward cloud computing, mobile technologies, and DevOps practices, each leap has demanded swift and strategic adaptation. Now, Generative AI (GenAI) emerges as the next transformative force, poised to revolutionise data handling, automation, and user experiences. However, integrating GenAI isn’t merely about adopting a new tool—it’s about reshaping workflows, infrastructure, and organisational culture. This is where the establishment of a dedicated platform team becomes not just valuable but essential.
read moreAs organizations navigate the complex landscape of cloud computing, artificial intelligence (AI), and Retrieval-Augmented Generation (RAG), platform engineering emerges as a critical foundation. By providing a standardized, self-service platform for developers, it empowers teams to focus on innovation while ensuring operational efficiency and scalability.
read moreThe Power of Cloud Native: A Beginner’s Guide
What is Cloud Native?
In today’s fast-paced digital landscape, businesses are constantly looking for ways to stay ahead of the curve. One way to do this is by adopting cloud native technology. But what exactly is cloud native, and how can it benefit your organization?
read moreStartup life – Our first six month
We’re excited to share our journey so far as a new company dedicated to helping businesses reduce their IT-related carbon emissions.
read moreGreening your K8s Workloads
Energy efficiency is at its best around and above 80% of server utilisation as described by Brendan here. So how can this be achieved with Kubernetes core functionality, while still being able to handle fluctuating load.
read moreBridging The Gap - Brigning Sustainability to SRE
Change is inevitable. It requires that your organisation’s codebase is sustainable and you are able to change all the things you ought to change, safely, and can do so for the lifespan of your product. That’s where SRE’s come into play. There is another uncovered sustainability aspect to software and platforms, which this blog post will dive into and show how SREs should extend their scope by one metric.
read moreBeyond DevOps and Delivery: Embracing Sustainability in IT
The DevOps and Cloud Native movements have revolutionised IT, focusing on optimising delivery through readily available and affordable on-demand computing power. This accessibility, however, has led to challenges of resource overuse and inefficiency, often resulting in “throwing resources at problems” rather than finding efficient solutions.
read moreMcKinsey’s - The State of Organization 2023 and the missing bit of sustainability
Navigating the ever-changing business landscape is a constant struggle for organisations, as they face constant disruptions and challenges. McKinsey’s recent report, The State of Organizations 2023
, identifies ten critical shifts that are transforming the way companies operate. Among these shifts, the emphasis on enhanced agility and robust corporate resilience stands out as a pressing concern.
read moreStartup life – Our first month
We’re excited to share our journey so far as a new company dedicated to helping businesses reduce their IT-related carbon emissions. We’ve been busy developing our services, building tools, attending industry conferences and reading to learn more about the challenges and opportunities in this space.
read more