Latest in AI & ML

LLM production, prompt engineering, and practical AI / ML trends. Covering GPT-4, model routing, observability, and production guardrails.

Trends, techniques, and thoughts on the evolving ML landscape, shared on LinkedIn.

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AI · MLOps · Automation

The AI didn't replace the classifier. It replaced the training backlog.

In ML teams, the hardest part isn't building the first model — it's maintaining all the small models that follow. The same classifier gets retrained, the same pipeline rerun, the same validation checks every quarter.

What disappeared first was not machine learning itself — it was the repetitive retraining layer around it. The time goes back to work that needs human judgment: framing new problems, choosing observation units, explaining trade-offs.

Result: AI didn't replace the classifier. It replaced the backlog required to keep it alive.

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LLM Engineering · Computer Vision

The prompt that classifies 500 images without training a model.

For a document-processing project, I needed to classify images into architectural plans vs. site photos.

The usual path takes weeks: collect 5000+ labeled images, train a CNN, tune hyperparameters, deploy, monitor drift.

I instead used a structured prompt and a Pydantic schema: is_plan: bool, description: str.

Each image was sent as base64, and the LLM returned validated, typed responses.

Result: The problem reached production in hours, not weeks.

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LLM Production · AI Engineering

“Just call the OpenAI API” vs what production actually looks like.

In production, the LLM is the smallest component. The rest is a wrapper for prompt management, model routing, validation, caching, and retries.

That wrapper also enforces guardrails: PII filtering, prompt injection defense, schema checks, and token budgets.

It captures observability too: prompt/response logs, latency, tokens, cost, and drift metrics.

Result: The raw API is 5% of the system; the wrapper is the other 95%.

If your LLM integration is just client.chat.completions.create(), you're in a notebook, not production.

Machine Learning Feature Engineering MLForecast Time Series Decomposition Forecasting LightGBM XGBoost Catboost Clustering Segmentation NLP LLMs Web App R Markdown SQL Oracle DB SAS-Guide SAS E-Miner Dataiku BigQuery GCP Python R CRISP-DM Hypothesis Testing ANOVA Data Analytics Dimensionality Reduction Recommendation System Network Analysis Geospace Analysis Spatial Data Embedding Sampling Techniques Decision Rules Data Storytelling CVM Churn Fraud Detection Sentiment Analysis Topic Modeling IBM Watson PowerBI Looker Studio VBA Statistical Learning Ensemble Modeling Stacking Cross-Validation Profiling ABT Construction Plumber Tidyverse Shiny Prophet Deep Learning Scikit-Learn JSON SAS Programming Git VS Code CSS Styling Automated Reporting Outlier Detection Temporal Clustering Startup Survival Pre-Valuation Modeling K-Means Decision Trees Data Science Predictive Modeling SVM LDA Text Classification Weight Prediction Pattern Recognition Real-Time Detection Community Detection Pipeline Automation Data Quality Checks Data Reliability Specification Mapping Business Strategy Marketing Campaigns Try & Buy Frameworks KPI Dashboards Network Quality Sales Analytics Mentoring Statistics Lecturer Remote Work Hybrid Work Consulting Contract Full-Time Freelance Sofrecom Orange Group Tunisia Telecom Kiota Intelligence VC Analytics Series A Prediction Pre-Valuation Modeling Production ML Applied AI Prompt Engineering Business Forecasting Decision Systems Graph Analytics Household Detection Multi-SIM Detection FTTH Forecasting Audit Extraction Infrastructure Classification Pydantic GPT-4 OpenAI API Base64 Classification Zindi Codementor LAAS-CNRS ESSAI MIT xPRO Tunisia ML Competition Cell Tower Analysis Uber Logistics Uber Cape Town Necessary Condition Analysis Behavioral Signals Spike Smoothing Observation Unit Design Dendrogram Ward Clustering VIF Target Encoding Machine Learning Feature Engineering MLForecast Time Series Decomposition Forecasting LightGBM XGBoost Catboost Clustering Segmentation NLP LLMs Web App R Markdown SQL Oracle DB SAS-Guide SAS E-Miner Dataiku BigQuery GCP Python R CRISP-DM Hypothesis Testing ANOVA Data Analytics Dimensionality Reduction Recommendation System Network Analysis Geospace Analysis Spatial Data Embedding Sampling Techniques Decision Rules Data Storytelling CVM Churn Fraud Detection Sentiment Analysis Topic Modeling IBM Watson PowerBI Looker Studio VBA Statistical Learning Ensemble Modeling Stacking Cross-Validation Profiling ABT Construction Plumber Tidyverse Shiny Prophet Deep Learning Scikit-Learn JSON SAS Programming Git VS Code CSS Styling Automated Reporting Outlier Detection Temporal Clustering Startup Survival Pre-Valuation Modeling K-Means Decision Trees Data Science Predictive Modeling SVM LDA Text Classification Weight Prediction Pattern Recognition Real-Time Detection Community Detection Pipeline Automation Data Quality Checks Data Reliability Specification Mapping Business Strategy Marketing Campaigns Try & Buy Frameworks KPI Dashboards Network Quality Sales Analytics Mentoring Statistics Lecturer Remote Work Hybrid Work Consulting Contract Full-Time Freelance Sofrecom Orange Group Tunisia Telecom Kiota Intelligence VC Analytics Series A Prediction Pre-Valuation Modeling Production ML Applied AI Prompt Engineering Business Forecasting Decision Systems Graph Analytics Household Detection Multi-SIM Detection FTTH Forecasting Audit Extraction Infrastructure Classification Pydantic GPT-4 OpenAI API Base64 Classification Zindi Codementor LAAS-CNRS ESSAI MIT xPRO Tunisia ML Competition Cell Tower Analysis Uber Logistics Uber Cape Town Necessary Condition Analysis Behavioral Signals Spike Smoothing Observation Unit Design Dendrogram Ward Clustering VIF Target Encoding