Iván Palomares Carrascosa
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🌐 kdnuggets.comSource
This article discusses LLM explainability and outlines the advances, trends, and ongoing developments in this important field of study.
🌐 kdnuggets.comSource
In this guide, you will learn the process of generating a year's worth of daily temperature readings, mimicking a seasonal curve that looks like real — all together with device-level metadata, and ready to build based on open-source frameworks.
🌐 kdnuggets.comSource
Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in your models.
🌐 machinelearningmastery.comSource
In this article, you will learn how to implement a hybrid search strategy for RAG systems by combining BM25 lexical search with semantic search, fused together using Reciprocal Rank Fusion.
🌐 machinelearningmastery.comSource
In this article, you will learn how logits, temperature, and top-p sampling work together to control next-token prediction in large language models.
🌐 kdnuggets.comSource
This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automates the process of capturing "gatekeeping language" in job descriptions before publishing them.
🌐 machinelearningmastery.comSource
This article shows the basic principles to implement a context pruning pipeline for long-running agents, based on conversational continuity and semantic relevance.
🌐 machinelearningmastery.comSource
From Machine Learning Mastery: Implementing Prompt Compression to Reduce Agentic Loop Costs
🌐 machinelearningmastery.comSource
From Machine Learning Mastery: Implementing Statistical Guardrails for Non-Deterministic Agents