corpus.blog
41554 blogs · [ { "id": "01a087cc-e42c-7020-8495-795c490bd27b", "title": "I Ain't Reading Your 20 Pages of AI-Generated Text Because Neither Did You!", "url": "http://queirozf.com/entries/i-ain-t-reading-your-20-pages-of-ai-generated-text-because-neither-did-you", "published_at": "2026-08-30T14:41:08+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c49615198", "title": "Active Recall Questions are a Superpower", "url": "http://queirozf.com/entries/active-recall-questions-are-a-superpower", "published_at": "2026-07-26T21:10:12+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c49aec418", "title": "Error Messages in Internal Tools: Patterns and Lessons Learned", "url": "http://queirozf.com/entries/error-messages-in-internal-tools-patterns-and-lessons-learned", "published_at": "2026-03-12T00:00:00+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4a5570cf", "title": "On Dealing with Inflation Effects on ML models", "url": "http://queirozf.com/entries/on-dealing-with-inflation-effects-on-ml-models", "published_at": "2026-02-22T02:46:34+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4a5efed2", "title": "Integrating Uv, Conda and Pip without Going Crazy", "url": "http://queirozf.com/entries/integrating-uv-conda-and-pip-without-going-crazy", "published_at": "2026-01-13T00:26:14+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4b33c50f", "title": "The Tell-tale Sign of Great Product Management", "url": "http://queirozf.com/entries/the-tell-tale-sign-of-great-product-management", "published_at": "2025-12-21T19:52:35+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4ba32d83", "title": "Fighting to Enable User-Provided Snippets on Cursor", "url": "http://queirozf.com/entries/fighting-to-enable-user-provided-snippets-on-cursor", "published_at": "2025-12-19T00:16:18+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4c3e162f", "title": "Paper Summary: KTO: Model Alignment as Prospect Theoretic Optimization", "url": "http://queirozf.com/entries/paper-summary-kto-model-alignment-as-prospect-theoretic-optimization", "published_at": "2025-07-21T23:08:12+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4ced2153", "title": "Paper Summary: A General Theoretical Paradigm to Understand Learning from Human Preferences", "url": "http://queirozf.com/entries/paper-summary-a-general-theoretical-paradigm-to-understand-learning-from-human-preferences", "published_at": "2025-07-21T20:48:10+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4d2b0657", "title": "Paper Summary: Fine-Tuning Language Models from Human Preferences", "url": "http://queirozf.com/entries/paper-summary-fine-tuning-language-models-from-human-preferences", "published_at": "2025-07-20T01:28:13+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4d885b7a", "title": "Practical Tips for more Robust Real-time ML models", "url": "http://queirozf.com/entries/practical-tips-for-more-robust-real-time-models", "published_at": "2025-07-09T19:11:13+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4dd64b91", "title": "String Manipulation Functions in Trino/PrestoSQL: Reference and Examples", "url": "http://queirozf.com/entries/string-manipulation-function-in-trino-prestosql-reference-and-examples", "published_at": "2025-06-23T13:37:58+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4e1b1d3a", "title": "Paper Summary: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models", "url": "http://queirozf.com/entries/paper-summary-chain-of-thought-prompting-elicits-reasoning-in-large-language-models", "published_at": "2025-06-15T15:04:25+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4eb1f86d", "title": "Paper Summary: Learning to Forget: Continual Prediction with LSTM", "url": "http://queirozf.com/entries/paper-summary-learning-to-forget-continual-prediction-with-lstm", "published_at": "2025-05-31T20:55:00+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4f38388d", "title": "Why Test Software? TL;DR Summary", "url": "http://queirozf.com/entries/why-test-software-tldr-summary", "published_at": "2025-04-27T19:17:39+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4fc39689", "title": "Paper Summary: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning", "url": "http://queirozf.com/entries/paper-summary-deepseek-r1-incentivizing-reasoning-capability-in-llms-via-reinforcement-learning", "published_at": "2025-04-19T19:56:12+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c4ff3fbdf", "title": "Manipulating Datetime Values in Apache Pinot: Reference and Examples", "url": "http://queirozf.com/entries/manipulating-datetime-values-in-apache-pinot-reference-and-examples", "published_at": "2025-04-17T17:00:44+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c50c6e1b0", "title": "Standardization at Scale is a Superpower", "url": "http://queirozf.com/entries/standardization-at-scale-is-a-superpower", "published_at": "2025-04-14T11:21:17+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c51493010", "title": "Paper Summary: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models", "url": "http://queirozf.com/entries/paper-summary-deepseekmath-pushing-the-limits-of-mathematical-reasoning-in-open-language-models", "published_at": "2025-04-06T23:57:57+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c5237975f", "title": "Paper Summary: Proximal Policy Optimization Algorithms", "url": "http://queirozf.com/entries/paper-summary-proximal-policy-optimization-algorithms", "published_at": "2025-04-06T19:30:05+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c52cee508", "title": "Experience Means Finding General Guidelines that Mitigate Risk and Increase Efficiency", "url": "http://queirozf.com/entries/experience-means-finding-general-guidelines-that-mitigate-risk-and-increase-efficiency", "published_at": "2024-10-18T11:18:10+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c536b8376", "title": "Paper Summary: Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study", "url": "http://queirozf.com/entries/paper-summary-is-dpo-superior-to-ppo-for-llm-alignment-a-comprehensive-study", "published_at": "2024-10-06T23:07:19+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c54219580", "title": "Paper Summary: The Science of Detecting LLM-Generated Texts", "url": "http://queirozf.com/entries/paper-summary-the-science-of-detecting-llm-generated-texts", "published_at": "2024-07-28T21:59:40+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c54881685", "title": "Paper Summary: Few-shot Fine-Tuning vs In-context Learning: a Fair Comparison and Evaluation", "url": "http://queirozf.com/entries/paper-summary-few-shot-fine-tuning-vs-in-context-learning-a-fair-comparison-and-evaluation", "published_at": "2024-07-22T02:53:16+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c54aa2c9c", "title": "Paper Summary: Multitask Prompted Training Enables Zero-Shot Task Generalization", "url": "http://queirozf.com/entries/paper-summary-multitask-prompted-training-enables-zero-shot-task-generalization", "published_at": "2024-03-31T23:44:47+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c55896f52", "title": "Paper Summary: Learning to summarize from human feedback", "url": "http://queirozf.com/entries/paper-summary-learning-to-summarize-from-human-feedback", "published_at": "2024-03-09T01:47:38+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c55de2c2c", "title": "Paper Summary: Zephyr: Direct Distillation of LM Alignment", "url": "http://queirozf.com/entries/paper-summary-zephyr-direct-distillation-of-lm-alignment", "published_at": "2024-01-02T00:52:09+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c56d39e13", "title": "Examples: Installing and Updating Packages with Apt", "url": "http://queirozf.com/entries/examples-installing-and-updating-packages-with-apt", "published_at": "2024-01-01T00:15:40+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c572e2fea", "title": "Git Examples: Reverting a File from a Branch", "url": "http://queirozf.com/entries/git-examples-reverting-a-file-from-a-branch", "published_at": "2023-12-27T02:49:38+00:00" }, { "id": "01a087cc-e42c-7020-8495-795c581c6e73", "title": "Paper Summary: Constitutional AI", "url": "http://queirozf.com/entries/paper-summary-constitutional-ai", "published_at": "2023-11-16T00:20:33+00:00" } ] posts Claim your blog
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2026

I Ain't Reading Your 20 Pages of AI-Generated Text Because Neither Did You!original ↗
30 Aug 2026
Active Recall Questions are a Superpoweroriginal ↗
26 Jul 2026
Error Messages in Internal Tools: Patterns and Lessons Learnedoriginal ↗
12 Mar 2026
On Dealing with Inflation Effects on ML modelsoriginal ↗
22 Feb 2026
Integrating Uv, Conda and Pip without Going Crazyoriginal ↗
13 Jan 2026

2025

The Tell-tale Sign of Great Product Managementoriginal ↗
21 Dec 2025
Fighting to Enable User-Provided Snippets on Cursororiginal ↗
19 Dec 2025
Paper Summary: KTO: Model Alignment as Prospect Theoretic Optimizationoriginal ↗
21 Jul 2025
Paper Summary: A General Theoretical Paradigm to Understand Learning from Human Preferencesoriginal ↗
21 Jul 2025
Paper Summary: Fine-Tuning Language Models from Human Preferencesoriginal ↗
20 Jul 2025
Practical Tips for more Robust Real-time ML modelsoriginal ↗
9 Jul 2025
String Manipulation Functions in Trino/PrestoSQL: Reference and Examplesoriginal ↗
23 Jun 2025
Paper Summary: Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelsoriginal ↗
15 Jun 2025
Paper Summary: Learning to Forget: Continual Prediction with LSTMoriginal ↗
31 May 2025
Why Test Software? TL;DR Summaryoriginal ↗
27 Apr 2025
Paper Summary: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningoriginal ↗
19 Apr 2025
Manipulating Datetime Values in Apache Pinot: Reference and Examplesoriginal ↗
17 Apr 2025
Standardization at Scale is a Superpoweroriginal ↗
14 Apr 2025
Paper Summary: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelsoriginal ↗
6 Apr 2025
Paper Summary: Proximal Policy Optimization Algorithmsoriginal ↗
6 Apr 2025

2024

Experience Means Finding General Guidelines that Mitigate Risk and Increase Efficiencyoriginal ↗
18 Oct 2024
Paper Summary: Is DPO Superior to PPO for LLM Alignment? A Comprehensive Studyoriginal ↗
6 Oct 2024
Paper Summary: The Science of Detecting LLM-Generated Textsoriginal ↗
28 Jul 2024
Paper Summary: Few-shot Fine-Tuning vs In-context Learning: a Fair Comparison and Evaluationoriginal ↗
22 Jul 2024
Paper Summary: Multitask Prompted Training Enables Zero-Shot Task Generalizationoriginal ↗
31 Mar 2024
Paper Summary: Learning to summarize from human feedbackoriginal ↗
9 Mar 2024
Paper Summary: Zephyr: Direct Distillation of LM Alignmentoriginal ↗
2 Jan 2024
Examples: Installing and Updating Packages with Aptoriginal ↗
1 Jan 2024

2023

Git Examples: Reverting a File from a Branchoriginal ↗
27 Dec 2023
Paper Summary: Constitutional AIoriginal ↗
16 Nov 2023