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Open Source vs. Proprietary LLMs

Large Language Models (LLMs) are now essential to modern artificial intelligence (AI), enabling machines to understand and generate human language. Their impact is evident across various industries, with estimates suggesting that by 2025, 750 million apps will integrate LLMs. From enhancing customer service with intelligent chatbots to advancing medical research, LLMs are driving efficiency in business operations.

Bridging Old and New: Designing APIs That Connect Legacy Systems with Modern Microservices

Nowadays, choosing between legacy systems that have served the company for years and modern systems is a complex decision. However, instead of making this choice, integrating them would be more financially and operationally beneficial. It would reduce costs and accelerate timetomarket without discarding crucial business logic. We invited Sumit Saha, a Software Engineer from a BigTech to shed more light on this.

How Software Product Development Services Accelerate Time to Market

Developing a software product takes time, but it doesn't have to take forever. There are benefits to every approach to making your vision a reality, but some are faster than others. If you don't already have an in-house programming team, outsourcing to a software product development company is the best and fastest option. Not only will it give you access to valuable expertise, but it can also vastly improve the software product and enhance your brand reputation with your customers. Let's explore this decision further so you can identify the benefits.

Kubernetes vs Docker: 7 Key Differences

It’s impossible to learn about containerization without hearing about Docker and Kubernetes. These two tools together dominate the world of containers, both being the de facto standard in what they each do. When you’re first getting started learning about containers, it can be quite a challenge to figure out the differences between these two tools.

3 Best Practices for Resource Utilization in Tech Teams

Effective resource utilization is critical for tech teams to consistently deliver exceptional services to customers while maintaining internal efficiency. In fast-paced industries where deadlines are tight and customer expectations are high, understanding team capabilities, skill sets, and availability is essential to making informed decisions about resource allocation.

Lessons from Building an AI Copilot

Artificial intelligence is reshaping industries at an unprecedented pace. AI has found its way into almost every vertical, from writing code to diagnosing illnesses, promising efficiency and innovation. The idea of an AI Copilot—a tool that acts as your assistant to tackle complex tasks—is particularly exciting. In our space, observability, the possibilities seemed endless. We asked ourselves how AI could simplify troubleshooting in microservices.

Enhancing Alerts with AI: Leveraging Amazon Bedrock and LLM's for Graylog

In this talk, we’ll explore the cutting-edge work InfusionPoints has done to process and enrich alerts from Graylog using Amazon Bedrock and advanced Large Language Models (LLMs) from Amazon Titan and Anthropic. Discover how we’ve harnessed the power of AI to elevate the accuracy, relevance, and actionable insights of our security alerts, transforming how we respond to potential threats.

Walking the Talk: How We're Engaging in Responsible AI Practices at Zebra

After my last post about responsible AI practices, some people rightfully inquired about Zebra’s practices. So, I thought it would be best to answer these questions publicly. The first thing I want to stress is that our underlying Code of Conduct, company policies, and departmental procedures provide the foundation for everything we do at Zebra.