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Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python
I recently published a post on Mastodon that was shared by six other accounts within two minutes. Curious, I visited the profiles andβ¦Continue reading on Towards Data Science Β»
Published on: December 27, 2024 | Source:
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Unlocking the Untapped Potential of Retrieval-Augmented Generation (RAG) Pipelines
Essential Metrics and Methods to Enhance Performance Across Retrieval, Generation, and End-to-End PipelinesContinue reading on Towards Data Science Β»
Published on: December 27, 2024 | Source:Top 10 Data Science Trends That Defined 2024
From the unstoppable rise of generative AI to sustainability-driven innovations: a retrospective analysis of the data science trends that revolutionized the field in 2024 and beyond.
Published on: December 27, 2024 | Source:How To Start A Data Science Blog on Medium
Tips on how to get started, write your first article, and get noticedContinue reading on Towards Data Science Β»
Published on: December 27, 2024 | Source:Understanding the Optimization Process Pipeline in Linear Programming
The post describes the backend and frontend processes in linear programming including the mathematical programming system (mps) files, problem matrix, optimization processes, results extraction, and solution files using an open-source solver called HiGHS with its Python wrapper calledhighspy.In this 2021 post, I demonstrated how linear optimization problems could be solved using the Pyomo package in Python and the JuMP...
Published on: December 27, 2024 | Source:Track Computer Vision Experiments with MLflow
Discover how to set up an efficient MLflow environment to track your experiments, compare and choose the best model for deploymentContinue reading on Towards Data Science Β»
Published on: December 26, 2024 | Source:How to Implement Image Captioning with Vision Transformer (ViT) and Hugging Face Transformers
A beginnerβs guide to getting started with image captioning models with HuggingFace.
Published on: December 26, 2024 | Source:Jingle Bells and Statistical Tests
Data Types, Hypotheses and Statistical Tests That Fit Them with Festive Christmas Market ExamplesContinue reading on Towards Data Science Β»
Published on: December 26, 2024 | Source:How Neural Networks Learn: A Probabilistic Viewpoint
Understanding loss functions for training neuralnetworksMachine learning is very hands-on, and everyone charts their own path. There isnβt a standard set of courses to follow, as was traditionally the case. Thereβs no βMachine Learning 101,β so to speak. However, this sometimes leaves gaps in understanding. If youβre like me, these gaps can feel uncomfortable. For instance, I used to be bothered by things we do...
Published on: December 26, 2024 | Source:Linearizing Attention
Breaking the quadratic barrier: modern alternatives to softmax attentionLarge Languange Models are great but they have a slight drawback that they use softmax attention which can be computationally intensive. In this article we will explore if there is a way we can replace the softmax somehow to achieve linear time complexity.Image by Author (Created using MiroBoard)Attention BasicsI am gonna assume you already know...
Published on: December 26, 2024 | Source:Understanding the Mathematics of PPO in Reinforcement Learning
Deep dive into RL with PPO for beginnersPhoto by ThisisEngineering onUnsplashIntroductionReinforcement Learning (RL) is a branch of Artificial Intelligence that enables agents to learn how to interact with their environment. These agents, which range from robots to software features or autonomous systems, learn through trial and error. They receive rewards or penalties based on the actions they take, which guide their...
Published on: December 26, 2024 | Source:Your Company Needs Small Language Models
Image generated by Stable DiffusionWhen specialized models outperform general-purpose modelsβBigger is always betterββthis 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 OpenAIβs co-founders, shared an idea: β...
Published on: December 26, 2024 | Source: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. Letβs look at how to do it.Continue reading on Towards Data Science Β»
Published on: December 26, 2024 | Source:Training LLM, from Scratch, in Rust
In this companion article, Iβll show my implementation for training from scratch a GPT-like model, in Rust.Continue reading on Towards Data Science Β»
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 Β»
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 Β»
Published on: December 25, 2024 | Source:2024βs 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 Β»
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 Β»
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 todayβs 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 employerβs market over the past few years. Finding an ML job in 2020, 2022, and 2024 could be...
Published on: December 24, 2024 | Source:A Birdβs-Eye View of Linear Algebra: Orthonormal Matrices
Orthonormal matrices: the most elegant matrices in all of linear algebra.Continue reading on Towards Data Science Β»
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:Iβm Doing the Advent of Code 2024 in PythonβββDay 4
Letβs see how many stars weβll collect.Continue reading on Towards Data Science Β»
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 Β»
Published on: December 24, 2024 | Source:Iβve Done 80+ Data Science InterviewsβββHereβs What Works
3 years of data science interview experienceContinue reading on Towards Data Science Β»
Published on: December 24, 2024 | Source:Letβs 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 Β»
Published on: December 24, 2024 | Source:Artificial Intelligence for Noobs
A beginnerβs 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 Β»
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 valuesβwith a quick Python GuideContinue reading on Towards Data Science Β»
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 modelβs 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 theyβre 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 Β»
Published on: December 23, 2024 | Source: