Augmetrics® Knowledgebase:
Behind the Build

The Augmetrics® Knowledgebase is where we unpack the deeper questions and technical realities behind today’s most powerful AI systems.

This section goes beyond the blog to offer clear, candid explorations of what’s really happening under the hood—from the hidden costs of model training to the elusive promise of AGI.

Here, you’ll find deep dives into topics like how long it takes (and how much it costs) to train large language models, what a single training cycle actually involves, and how much energy is consumed in the process. We also explore foundational questions—like whether current LLM architectures are capable of achieving artificial general intelligence at all.

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Knowledge Base Deep-Dives

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Latest Blog Posts

Stay updated on the key aspects around AI and data-processing

What Is Reinforcement Learning (RL), How Is It Used & How Effective Is It?

Reinforcement Learning (RL) is a machine learning approach where an AI agent learns by interacting with…Read Article

The Role of Synthetic Data

Despite the incredible size of the data used in model training, real-world datasets often contain gaps, biases…Read Article

Post-Preprocessing Stage: What It Means & What It Does

Once raw data has been cleaned, normalized, and structured during pre-processing, the next step is…Read Article

Data Sources for Pre-Processing

AI models rely on a diverse range of data sources during pre-processing to ensure accuracy and contextual…Read Article

From Pre-Processing to Inference, What Are the Stages in AI Model Training?

AI model training is a multi-stage process that transforms raw data into intelligent, predictive…Read Article

There’s So Much to Learn

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