LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries
[ad_1] datasets and are looking for quick insights without too much manual grind, you’ve come to the right place. In ...
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LLM Optimization: LoRA and QLoRA | Towards Data Science
[ad_1] With the appearance of ChatGPT, the world recognized the powerful potential of large language models, which can understand natural ...
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GAIA: The LLM Agent Benchmark Everyone’s Talking About
[ad_1] were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic ...
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From Data to Stories: Code Agents for KPI Narratives
[ad_1] , we often need to investigate what’s going on with KPIs: whether we’re reacting to anomalies on our dashboards ...
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Code Agents: The Future of Agentic AI
[ad_1] of AI agents. LLMs are no longer just tools. They’ve become active participants in our lives, boosting productivity and ...
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How to Evaluate LLMs and Algorithms — The Right Way
[ad_1] Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep ...
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Agentic AI 102: Guardrails and Agent Evaluation
[ad_1] In the first post of this series (Agentic AI 101: Starting Your Journey Building AI Agents), we talked about ...
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Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer
[ad_1] AlphaEvolve imagined as a genetic algorithm coupled to a large language model. Picture created by the author using various ...
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Effortless Spreadsheet Normalisation With LLM
[ad_1] This article is part of a series of articles on automating Data Cleaning for any tabular dataset. You can ...
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Mastering Prompt Engineering with Functional Testing: A Systematic Guide to Reliable LLM Outputs
[ad_1] Creating efficient prompts for large language models often starts as a simple task… but it doesn’t always stay that ...
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