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Synthetic Data Generation with Prompt Engineering
In our previous article, we talked about the role of synthetic data in QA tes...
Test Data and AI: What Makes Good Test Data?
In this series of articles we’re going to be talking about how to use LLMs to...
Beat the AI Filter: How to Get your CV seen by Recruiters in the AI Age
It’s undeniable that AI has - for better or worse - already had a huge impact...
What is LLM as Judge and Why Should you use it?
In the last article we covered statistical metrics like Perplexity, BLEU, ROU...
Common Statistical LLM Evaluation Metrics and what they Mean
In one of our earlier articles, we touched on statistical metrics and how the...
How Good is Good Enough: Subjective Testing and Manual LLM Evaluation
In our previous article, we talked about the highest level of testing and eva...
How Good is Good Enough: A Guide to Common LLM Benchmarks
In our last article, we talked about benchmarking as the highest level method...
How Good is Good Enough? - Introduction to LLM Testing and Benchmarks
The proliferation of Large-Language Models (LLMs), and their subsequent embed...
A How to Guide: Prompt Engineering for Reasoning Models
In our previous article on prompt engineering, we covered the basics of promp...
A How-to Guide: Prompt Engineering for Traditional Models
In a relatively short space of time, Large-Language Models (LLMs) seemingly t...
Understanding and Implementing import/no-extraneous-dependencies eslint Rule ...
One of the biggest advantages of using a monorepo is that you can manage depe...
Dynamic Forms Made Easy with shadcn/ui: Managing Dependent Fields
Dynamic forms—forms that adjust based on user input—are a common requirement ...