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A Large Language Model like ChatGPT might seem impossibly complex. Yet its core is surprisingly basic: two files on a computer. One contains the model’s knowledge, and the other runs it. That’s it. Consider Meta’s LLaMa-2 70B model. Its knowledge fits in a 140-gigabyte file – about the size of 35 HD movies. The program […]

The European Union has taken a decisive step in cryptocurrency regulation with the Markets in Crypto-Assets Regulation (MiCA) coming into full effect on December 30, 2024. This comprehensive framework marks a significant shift in how digital assets are regulated across the EU, creating new opportunities and challenges for businesses operating in the crypto space. MiCA

Dataset Engineering: Building Better AI Models Through Quality Data Quality data forms the bedrock of successful AI models. Even with unlimited computing power and expert ML teams, models can only be as good as their training data. As AI development shifts toward fine-tuning existing models rather than building from scratch, data quality becomes a crucial

Foundation models power modern AI applications, from chatbots to code assistants. While you don’t need to build these models to use them effectively, understanding their fundamentals helps you make better decisions about which models to use and how to adapt them for your needs. Training foundation models demands significant resources and expertise. Most organizations developing

Web developers exchange data between systems every day. JSON has become our go-to format for this exchange, striking the right balance between readability and efficiency. Though it started in JavaScript, JSON now powers data exchange across all modern programming languages. A real example helps explain this better. When building a user profile system, we need

Behind every click, stream, and download lies a vast network of technology that most of us rarely think about. When you check your email, shop online, or stream your favorite show, your data travels through massive facilities known as Amazon Web Services (AWS) datacenters. At ZirconTech, we work with AWS infrastructure daily, helping businesses build

Remember when setting up a web application meant provisioning servers, configuring load balancers, and maintaining infrastructure? Those days are fading fast. Serverless architecture has changed the game, letting developers focus on what matters most: writing code that solves real problems. At ZirconTech, our AWS-certified team has guided numerous projects through this transition. We’ve seen firsthand

Software teams traditionally follow a clear hierarchy: technical leads make decisions, managers allocate resources, and developers execute the plan. But blockchain technology has sparked a different approach. Decentralized Autonomous Organizations (DAOs) flip this model on its head, replacing traditional management structures with code-driven decision making. At ZirconTech, we’ve watched this transformation unfold. Technical teams now

The recent backdoor incident involving the Solana-web3.js code library serves as a stark reminder of the vulnerabilities that can arise from seemingly small oversights. Hackers managed to pocket approximately $155,000 by sneaking a backdoor into this popular library, which is widely used by developers of smart contract applications on the Solana blockchain. The attack targeted

Understanding when to use machine learning (ML) over large language models (LLMs) is crucial for solving specific data challenges. This article explores the practical applications of ML, particularly with AWS SageMaker, in handling structured data tasks like sales forecasting. Understanding the Problem Industries such as retail often face challenges with structured data, including forecasting demand