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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXUnderstanding RAG Part IV: RAGAs & Other Evaluation Frameworks
Be sure to check out the previous articles in this series: β’
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Harmonizing and Pooling Datasets for Health Research in R
R code to extract data from unique datasets and combine them in one harmonized dataset ready for seamless analysisContinue reading on Towards Data Science Β»
Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code
A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exerciseContinue reading on Towards Data Science Β»
Optimize the dbt Doc Function with a CI
How to set an automated check to improve your dbt documentationImage by the author (generated withchatgpt)In large dbt projects, maintaining consistent and up-to-date documentation can be a challenge. Although dbtβs {{ doc() }} function allows you to store and reuse descriptions for the columns of your models, ensuring its usage remains quite a manual process and prone to mistakes, and therefore can easily lead to...
How to Evaluate LLM Summarization
A practical and effective guide for evaluating AI summariesImage fromUnsplashSummarization is one of the most practical and convenient tasks enabled by LLMs. However, compared to other LLM tasks like question-asking or classification, evaluating LLMs on summarization is far more challenging.And so I myself have neglected evals for summarization, even though two apps Iβve built rely heavily on summarization (Podsmart...
How to Utilize ModernBERT and Synthetic Data for Robust Text Classification
Learn how to fine-tune ModernBERT and create augmentations of text samplesContinue reading on Towards Data Science Β»
Using fsspec for Unified File Management in Your Python Projects
Are you looking for an easier way to manage files across different storage systems? fsspec is a Python library that simplifies file handling by providing a unified interface for file management.
Human Minds vs. Machine Learning Models
Exploring the parallels and differences between psychology and machinelearningDisclaimers:This blog post was co-authored with my friend, Dee Penco, a certified therapist and counsellor.For the past 2.5+ years, Dee and I have spent hours and hours discussing and reasoning human behaviours, which has sparked my passion for psychology. With time, we cross-shared ideas about psychology and ML/AI modelling concepts.While I...
3 Easy Ways to Fine-Tune Language Models
Language models have quickly become cornerstones of many business applications in recent years.
Avoid These Easily Missed Mistakes in Machine Learning WorkflowsβββPart 1
Misusing identifiers, incorrect data splits, and ignoring rare feature valuesContinue reading on Towards Data Science Β»
Optimizing Server Performance Through Statistical Analysis
With millions of client-server comms occurring every second across networks, the ability to maintain optimal performance is crucial to avoiding downtime, latency, and inefficiencies that could cost a business thousands or even millions of dollars.
How to Build Your Own AI: Creating an LLM from Scratch
Understanding and building AI for natural language processingContinue reading on Towards Data Science Β»
Ontology Reasoning on Biomedical Data with Neo4j
Leveraging the Neosemantics plugin to build a Knowledge Graph on top of the Human Phenotype Ontology (HPO)Continue reading on Towards Data Science Β»
Mastering Pythonβs Built-in Statistics Module: A Complete Guide to Essential Functions
Let's have a look at the different functions included within the statistics module, and point to more in-depth tutorials on each of them individually.
Neural Networks for Time-Series Imputation: Tackling Missing Data
Part 3: Discover how a simple Keras sequential model can be effectiveContinue reading on Towards Data Science Β»
Large Language Models: A Short Introduction
And why you should care aboutLLMsImage byauthor.Thereβs an acronym youβve probably heard non-stop for the past few years: LLM, which stands for Large LanguageModel.In this article weβre going to take a brief look at what LLMs are, why theyβre an extremely exciting piece of technology, why they matter to you and me, and why you should care aboutLLMs.Note: in this article, weβll use Large Language Model, LLM and model...
Data-Driven Decision Making with Sentiment Analysis in R
Leveraging the Quanteda, Textstem and Sentimentr Packages to Extract Customer Insights and Enhance Business StrategyContinue reading on Towards Data Science Β»
LyRec: A Song Recommender That Reads Between the Lyrics
This is how I built an emotionally intelligent LLM-powered song recommendation system.Photo by David PupΔzΔ onUnsplashDo you remember the last time you found yourself obsessing over a song? Maybe it was the raw emotion that resonated with you, or perhaps it was the lyrics that kept you hooked. Or maybe you loved the story it tells. Wouldnβt it be nice if there was a way to find songs that express a similar emotion,...
Understanding the Evolution of ChatGPT: Part 3β Insights from Codex and InstructGPT
Mastering the art of fine-tuning: Learnings for training your ownLLMs.(Image from Unsplash)This is the third article in our GPT series, and also the most practical one: finally, we will talk about how to effectively fine-tune LLMs.It is practical in the way that, if you were asked to train your own LLMs today, you can skip pre-training and jump straight into using an open-source LLM or SLM; However, very likely youβll...
Fighting Fraud Fairly: Upgrade Your AI Toolkit
A practical approach to address bias in AIsystemsPhoto by theauthorAs sophisticated AI systems are increasingly used in decision-making, ensuring fairness has become a priority, with a growing need to prevent algorithms from disproportionately affecting vulnerable groups in sensitive areas like the justice or educational system.One famous example is the COMPAS algorithm, that was designed to assist the U.S. criminal...
Learn to Build Advanced AI Image Applications
By building an interior designer in ComfyUIContinue reading on Towards Data Science Β»
Data Science Salaries & Job Market Analysis: From 2024 to 2025
Data science is still among the best careers to choose from in terms of compensation, with data scientists earning higher than the average salary. Letβs see what data professionals stand to earn in 2025.
Skills a Data Scientist Must Have (But a Software Engineer Doesnβt)
I guided a friend through her career transition to being an ML engineer.Continue reading on Towards Data Science Β»
Build your own Annotation Tool for Image Classification in 5 Minutes
How to label an image dataset with OpenCV and PythonContinue reading on Towards Data Science Β»
Urban Graph Networks
How graph theory can save you hours for your next city trip!Continue reading on Towards Data Science Β»
How to Use groupby for Advanced Data Grouping and Aggregation in Pandas
Learn how to perform advance grouping and aggregation in Pandas.
Agentic Mesh: Towards Enterprise-Grade Agents
Enterprise-grade capabilities will make or break the future of agent adoption. Without them, agents adoption will collapse.Continue reading on Towards Data Science Β»
5 Python Libraries to Build an Optimized RAG System
Retrieval augmented generation (RAG) has become a vital technique in contemporary AI systems, allowing large language models (LLMs) to integrate external data in real time.
Advancing AI Reasoning: Meta-CoT and System 2 Thinking
How Meta-CoT enhances system 2 reasoning for complex AI challengesContinue reading on Towards Data Science Β»
Modern Data And Application Engineering Breaks the Loss of Business Context
Hereβs how your data retains its business relevance as it travels through your enterpriseContinue reading on Towards Data Science Β»
Why LLMs Suck at ASCII Art
How being bad at art can be so dangerousLarge Language Models have been doing a pretty good job of knocking down challenge after challenge in areas both expected and not. From writing poetry to generating entire websites from questionablyβ¦ drawn images, these models seem almost unstoppable (and dire for my future career prospects). But thereβs one quirky and zany corner of the digital world where even the most muscular...
Building a Data Dashboard
Using the streamlit Python libraryContinue reading on Towards Data Science Β»
Why Generative-AI Appsβ Quality Often Sucks and What to Do About It
How to get from PoCs to tested high-quality applications in productionImage licensed from elements.envato.com, edit by Marcel MΓΌller,2025The generative AI hype has rolled through the business world in the past two years. This technology can make business process executions more efficient, reduce wait time, and reduce process defects. Some interfaces like ChatGPT make interacting with an LLM easy and accessible. Anyone...
How Most Organizations Get Data Strategy Wrongβββand How to Fix It
Wave by CLEANPNG.DEMYSTIFY DATASTRATEGYHow Most Organizations Get Data & AI Strategy Wrongβand How to FixItRedefining Data Strategy to Drive Competitive Advantage with Data, Analytics andAIUnlocking business value from data, analytics, and Artificial Intelligence is a hot topic. Yet, most organizations struggle to monetize existing data or to create new data that advances their thinking. I assert that in most...
Learn Python for Data Science in 6 Weeks on DataCamp
Whether youβre starting from scratch or building on existing skills, this hands-on program teaches you how to import, clean, and visualize data from day one using libraries like pandas, Seaborn, and Matplotlib. Plus, earn an industry-recognized certification to showcase your expertise and stand out in the job market.