Never miss the new version variableour weekly newsletters that include top-notch editorial choices, deep diving, community news and more. Subscribe now!
If the output you see doesn’t meet expectations, all the hard work required to integrate large language models and powerful algorithms into your workflow can be wasted. This is the fastest way to lose the interests of stakeholders, or worse, their trust.
In this version of the variables, we focus on the best strategies for evaluating and benchmarking ML method performance, whether it is cutting-edge enhancement algorithms or the recently unveiled LLM. We invite you to explore these outstanding articles to find the right approach to your current needs. Let’s dive.
LLM Evaluation: From Prototyping to Production
Not sure where or how to start? Mariya Mansurova introduces a comprehensive guide that allows us to complete the end-to-end process of building an evaluation system for LLM products – from evaluating early prototypes to implementing continuous quality monitoring in production.
How to test DeepSeek-R1 distilled type on GPQA
Kenneth Leung uses simple statements from Ollama and Openai to explain how to evaluate the reasoning capabilities of DeepSeek-based models.
Benchmark Standard Table Enhanced Learning Algorithm
Learn how to run experiments in the context of RL proxy: Oliver S unravels the internal work of multiple algorithms and how they stack on each other.
Other recommended readings
Why aren’t you exploring other topics this week? Our lineup includes SMART with AI ethics, survival analysis, and more:
- James O’Brien reflects on an increasingly difficult question: How should human users treat AI agents trained to mimic human emotions?
- To solve similar topics from different perspectives, Marina Tosic miracle will blame whom should be blamed when LLM-driven tools produce bad results or inspire bad decisions.
- Survival analysis is not only used to calculate health risks or mechanical failures. Samuele Mazzanti shows that it may be equally relevant in a business environment.
- Using the wrong log type can create a major problem when interpreting the results. Ngoc Doan explains how this happens and how to avoid some common pitfalls.
- How has Chatgpt’s arrival changed the way we learn new skills? Livia Ellen reflects on his programming journey and believes it is time to embark on a new paradigm.
Meet our new author
Don’t miss out on the work of some of our latest contributors:
- Chenxiao Yang introduces an exciting new paper covering the basic limitations of ideas-based test time expansion.
- Thomas Martin Lange is a researcher at the intersection of agricultural science, informatics and data science.
We love articles from new authors, so if you recently wrote an interesting project walkthrough, tutorial or theoretical reflection, then why not share any of our core topics with us?
