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Your Company Needs Small Language Models
Image generated by Stable DiffusionWhen specialized models outperform general-purpose models“Bigger is always better”—this principle is deeply rooted in the AI world. Every month, larger models are created, with more and more parameters. Companies are even building $10 billion AI data centers for them. But is it the only direction togo?At NeurIPS 2024, Ilya Sutskever, one of OpenAI’s co-founders, shared an idea: “...
Published on: December 26, 2024 | Source:
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Calculating a linear extrapolation (or Trend) in DAX
In DAX there is no built-in method to calculate a Trend. Therefore we must do it manually. Let’s look at how to do it.Continue reading on Towards Data Science »
Published on: December 26, 2024 | Source:Training LLM, from Scratch, in Rust
In this companion article, I’ll show my implementation for training from scratch a GPT-like model, in Rust.Continue reading on Towards Data Science »
Published on: December 26, 2024 | Source:Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases)
Supercharge Your FastAPI with Middleware: Practical Use Cases and ExamplesContinue reading on Towards Data Science »
Published on: December 25, 2024 | Source:Three Important Pandas Functions You Need to Know
Master these techniques to stand out as a Python developerContinue reading on Towards Data Science »
Published on: December 25, 2024 | Source:2024’s Biggest Moments in AI
2024 has been yet another groundbreaking year for AI, with major breakthroughs, industry shifts, and ethical challenges shaping its future. Let's uncover together the key moments that defined AI this year about to finalize.
Published on: December 25, 2024 | Source:Decoding the Hack behind Accurate Weather Forecasting: Variational Data Assimilation
Learn how to implement the variational data assimilation, with mathematical details and PyTorch for efficient implementation.Continue reading on Towards Data Science »
Published on: December 25, 2024 | Source:Probability Distributions: Poisson vs. Binomial Distribution
Using Soccer to Understand the Difference Between Poisson & Binomial: Probability for Data Science Series (3)Continue reading on Towards Data Science »
Published on: December 25, 2024 | Source:2024 Survival Guide for Machine Learning Engineer Interviews
A year-end summary for junior-level MLE interview preparationJob-seeking ishard!In today’s market, job-seeking for machine learning-related roles is more complex than ever. Even though public reports claim that the job demand for machine learning engineers (MLE) is fast growing, the fact is that the market has turned toward an employer’s market over the past few years. Finding an ML job in 2020, 2022, and 2024 could be...
Published on: December 24, 2024 | Source:A Bird’s-Eye View of Linear Algebra: Orthonormal Matrices
Orthonormal matrices: the most elegant matrices in all of linear algebra.Continue reading on Towards Data Science »
Published on: December 24, 2024 | Source:5 of the Most Influential Machine Learning Papers of 2024
Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives worldwide.
Published on: December 24, 2024 | Source:I’m Doing the Advent of Code 2024 in Python — Day 4
Let’s see how many stars we’ll collect.Continue reading on Towards Data Science »
Published on: December 24, 2024 | Source:Design Patterns with Python for Machine Learning Engineers: Template Method
Learn how to use the Template design pattern to enhance your codeContinue reading on Towards Data Science »
Published on: December 24, 2024 | Source:I’ve Done 80+ Data Science Interviews — Here’s What Works
3 years of data science interview experienceContinue reading on Towards Data Science »
Published on: December 24, 2024 | Source:Let’s Learn a Little About Computer Vision via Sudoku
Solving Sudoku is a fun challenge for coding, and adding computer vision to populate the puzzle ties this with a popular ML techniqueContinue reading on Towards Data Science »
Published on: December 24, 2024 | Source:Artificial Intelligence for Noobs
A beginner’s guide to AI and how to get started.
Published on: December 24, 2024 | Source:Mono to Stereo: How AI Is Breathing New Life into Music
Applications and techniques for AI mono-to-stereo upmixingImage generated with DALL-E3.Mono recordings are a snapshot of history, but they lack the spatial richness that makes music feel truly alive. With AI, we can artificially transform mono recordings to stereo or even remix existing stereo recordings. In this article, we explore the practical use cases and methods for mono-to-stereo upmixing.Mono and Stereo in the...
Published on: December 24, 2024 | Source:How Bias and Variance Affect Your Model
Learn the concepts and the practice. How a model behaves in each case.Continue reading on Towards Data Science »
Published on: December 24, 2024 | Source:Classifier-free guidance for LLMs performance enhancing
Classifier-Free Guidance for LLMs Performance EnhancingCheck and improve classifier-free guidance for text generation large languagemodels.While participating in NeurIPS 2024 Competitions track I was awarded the second prize in the LLM Privacy challenge. The solution I had used classifier-free guidance (CFG). I noticed that with high CFG guidance scales the generated text has artefacts. Here I want to share some...
Published on: December 23, 2024 | Source:How to Tackle an Optimization Problem with Constraint Programming
Case study: the travelling salesmanproblemTLDRConstraint Programming is a technique of choice for solving a Constraint Satisfaction Problem. In this article, we will see that it is also well suited to small to medium optimization problems. Using the well-known travelling salesman problem (TSP) as an example, we will detail all the steps leading to an efficient model.For the sake of simplicity, we will consider the...
Published on: December 23, 2024 | Source:How to Clean Your Data for Your Real-Life Data Science Projects
How I treat missing values—with a quick Python GuideContinue reading on Towards Data Science »
Published on: December 23, 2024 | Source:Adapted Prediction Intervals by Means of Conformal Predictions and a Custom Non-Conformity Score
How confident should I be in a machine learning model’s prediction for a new data point? Could I get a range of likelyvalues?Image byauthorWhen working on a supervised task, machine learning models can be used to predict the outcome for new samples. However, it is likely that the prediction from a new data point is incorrect. This is particularly true for a regression task where the outcome may take an infinite number...
Published on: December 23, 2024 | Source:Why Sets Are So Useful in Programming
And how you can use them to boost your code performanceA set is a simple structure defined as a collection of distinct elements. Sets are most commonly seen in fields like mathematics or logic, but they’re also useful in programming for writing efficient code. In this article, I detail cases where sets outperform alternative data types like lists, and the underlying implementation of sets which makes them so useful to...
Published on: December 23, 2024 | Source:Advanced Prompt Engineering: Chain of Thought (CoT)
Comparing different techniques for reasoningContinue reading on Towards Data Science »
Published on: December 23, 2024 | Source:KDnuggets’ Favorite Articles of the Year for 2024
We asked our writing team members to each select their favorite article from the year that they wrote, and share their reasons why with us.
Published on: December 23, 2024 | Source:The Multi-Armed Bandit Problem—A Beginner-Friendly Guide
Understanding the exploitation-exploration trade-off with an exampleContinue reading on Towards Data Science »
Published on: December 23, 2024 | Source:Handling Billions of Records in Minutes with SQL ⏱️
Analyze massive datasets directly in memory—faster than everContinue reading on Towards Data Science »
Published on: December 23, 2024 | Source:6 Language Model Concepts Explained for Beginners
Understanding what's happening behind large language models (LLMs) is essential in today's machine learning landscape.
Published on: December 23, 2024 | Source:An Agentic Approach to Reducing LLM Hallucinations
Simple techniques to alleviate LLM hallucinations using LangGraphPhoto by Greg Rakozy onUnsplashIf you’ve worked with LLMs, you know they can sometimes hallucinate. This means they generate text that’s either nonsensical or contradicts the input data. It’s a common issue that can hurts the reliability of LLM-powered applications.In this post, we’ll explore a few simple techniques to reduce the likelihood of...
Published on: December 22, 2024 | Source:Creating a WhatsApp AI Agent with GPT-4o
Created withDALL-EHow to use the Meta API to build your own LLM-powered WhatsappchatbotA game-changer in the field of AI and business management is the integration of AI agents with widely used communication tools. Think of having a familiar chat interface with real-time data requests, updates, and task automation, all made possible by direct WhatsApp interaction with your business’s management or personal assistant...
Published on: December 22, 2024 | Source:How (and Where) ML Beginners Can Find Papers
From conferences to surveysContinue reading on Towards Data Science »
Published on: December 22, 2024 | Source:What Every Aspiring Machine Learning Engineer Must Know to Succeed
Your Guide to Avoiding Critical Errors with Machine Learning in ProductionContinue reading on Towards Data Science »
Published on: December 22, 2024 | Source:Propensity-Score Matching Is the Bedrock of Causal Inference
And how to get started with it using PythonContinue reading on Towards Data Science »
Published on: December 22, 2024 | Source:Should you switch from VSCode to Cursor?
My experience using VSCode (GitHub Copilot) and Cursor (Claude 3.5 Sonnet) as a Data Scientist.Continue reading on Towards Data Science »
Published on: December 21, 2024 | Source:Evaluation-Driven Development for agentic applications using PydanticAI
An open-source, model-agnostic agentic framework that supports dependency injectionIdeally, you can evaluate agentic applications even as you are developing them, instead of evaluation being an afterthought. For this to work, though, you need to be able to mock both internal and external dependencies of the agent you are developing. I am extremely excited by PydanticAI because it supports dependency injection from the...
Published on: December 21, 2024 | Source: