AI Is Not a Black Box (Relatively Speaking)
Summary: Opinion piece for the general TDS audience. I argue that AI is more transparent than humans in tangible ways. ...
Read more Connecting the Dots for Better Movie Recommendations
promises of retrieval-augmented generation (RAG) is that it allows AI systems to answer questions using up-to-date or domain-specific information, without ...
Read more How I Automated My Machine Learning Workflow with Just 10 Lines of Python
is magical — until you’re stuck trying to decide which model to use for your dataset. Should you go with a random ...
Read more Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.
In this article, I will demonstrate how to move from simply forecasting outcomes to actively intervening in systems to steer ...
Read more Perplexity’s CEO Sees AI Agents as the Next Web Battleground
Wait though … Perplexity—like other AI search engines—has been criticized for hallucinating and getting things wrong. We welcome this criticism, ...
Read more Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is
is an approach to accuracy that devours data, learns patterns, and predicts. However, with the best models, even those predictions ...
Read more Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning
opportunities recently to work on the task of evaluating LLM Inference performance, and I think it’s a good topic to ...
Read more LLM Optimization: LoRA and QLoRA | Towards Data Science
With the appearance of ChatGPT, the world recognized the powerful potential of large language models, which can understand natural language ...
Read more GAIA: The LLM Agent Benchmark Everyone’s Talking About
were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic web” ...
Read more From Data to Stories: Code Agents for KPI Narratives
, we often need to investigate what’s going on with KPIs: whether we’re reacting to anomalies on our dashboards or ...
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