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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 I’ve built rely heavily on summarization (Podsmart...

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

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»

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

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.

Published on: January 22, 2025 | Source: KDnuggets favicon KDnuggets

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...

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

3 Easy Ways to Fine-Tune Language Models

Language models have quickly become cornerstones of many business applications in recent years.

Published on: January 22, 2025 | Source: Machine Learning Mastery favicon Machine Learning Mastery

Avoid These Easily Missed Mistakes in Machine Learning Workflowsβ€Šβ€”β€ŠPart 1

Misusing identifiers, incorrect data splits, and ignoring rare feature valuesContinue reading on Towards Data Science Β»

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

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.

Published on: January 22, 2025 | Source: KDnuggets favicon KDnuggets

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»

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

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»

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

Mastering Python’s 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.

Published on: January 22, 2025 | Source: KDnuggets favicon KDnuggets

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»

Published on: January 22, 2025 | Source: Towards Data Science favicon Towards Data Science

Large Language Models: A Short Introduction

And why you should care aboutLLMsImage byauthor.There’s an acronym you’ve probably heard non-stop for the past few years: LLM, which stands for Large LanguageModel.In this article we’re going to take a brief look at what LLMs are, why they’re an extremely exciting piece of technology, why they matter to you and me, and why you should care aboutLLMs.Note: in this article, we’ll use Large Language Model, LLM and model...

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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»

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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 PupΔƒzΔƒ 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. Wouldn’t it be nice if there was a way to find songs that express a similar emotion,...

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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 you’ll...

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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...

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

Learn to Build Advanced AI Image Applications

By building an interior designer in ComfyUIContinue reading on Towards Data Science Β»

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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. Let’s see what data professionals stand to earn in 2025.

Published on: January 21, 2025 | Source: KDnuggets favicon KDnuggets

Skills a Data Scientist Must Have (But a Software Engineer Doesn’t)

I guided a friend through her career transition to being an ML engineer.Continue reading on Towards Data Science Β»

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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»

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

Urban Graph Networks

How graph theory can save you hours for your next city trip!Continue reading on Towards Data Science Β»

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

How to Use groupby for Advanced Data Grouping and Aggregation in Pandas

Learn how to perform advance grouping and aggregation in Pandas.

Published on: January 21, 2025 | Source: KDnuggets favicon KDnuggets

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»

Published on: January 21, 2025 | Source: Towards Data Science favicon Towards Data Science

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.

Published on: January 21, 2025 | Source: Machine Learning Mastery favicon Machine Learning Mastery

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»

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science

Modern Data And Application Engineering Breaks the Loss of Business Context

Here’s how your data retains its business relevance as it travels through your enterpriseContinue reading on Towards Data Science Β»

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science

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 questionably… drawn images, these models seem almost unstoppable (and dire for my future career prospects). But there’s one quirky and zany corner of the digital world where even the most muscular...

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science

Building a Data Dashboard

Using the streamlit Python libraryContinue reading on Towards Data Science Β»

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science

Why Generative-AI Apps’ 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...

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science

How Most Organizations Get Data Strategy Wrongβ€Šβ€”β€Šand How to Fix It

Wave by CLEANPNG.DEMYSTIFY DATASTRATEGYHow Most Organizations Get Data & AI Strategy Wrongβ€”and 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...

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science

Learn Python for Data Science in 6 Weeks on DataCamp

Whether you’re 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.

Published on: January 20, 2025 | Source: KDnuggets favicon KDnuggets

The Ultimate Roadmap to Becoming an LLM Engineer

Unsure what to learn, where to start, and which order to follow to master LLM engineering concepts and skills? This comprehensive roadmap with clear milestones and stages is here to help!

Published on: January 20, 2025 | Source: KDnuggets favicon KDnuggets

10 Essential PySpark Commands for Big Data Processing

Check out these 10 ways to leverage efficient distributed dataset processing combining the strengths of Spark and Python libraries for data science.

Published on: January 20, 2025 | Source: KDnuggets favicon KDnuggets

Future-Proof Your Machine Learning Career in 2025

Machine learning continues to provide benefits of all sorts that have become integrated within society, meaning that a career in machine learning will only become more important with time.

Published on: January 20, 2025 | Source: Machine Learning Mastery favicon Machine Learning Mastery

RAG Isn’t Immune to LLM Hallucination

How to measure how much of your RAG’s output is correctContinue reading on Towards Data Science Β»

Published on: January 20, 2025 | Source: Towards Data Science favicon Towards Data Science