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Retrieval Augmented Generation in SQLite
This is the second in a two-part series on using SQLite for machine learning. In my last article, I dove into how SQLite is rapidly becoming a production-ready database for web applications. In this article, I will discuss how to perform retrieval-augmented-generation using SQLite. If youβd like a custom web application with generative AI integration, [β¦] The post Retrieval Augmented Generation in SQLite appeared first...
Published on: February 18, 2025 | Source:
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7 MLOPs Projects for Beginners
Develop AI applications, test them, and deploy on the cloud using user-friendly MLOps tools and straightforward methods.
Published on: February 18, 2025 | Source:How Do I Improve My Logic Building in Programming?
In this article we will go through the tips and tricks that can help with your logic-building skills.
Published on: February 18, 2025 | Source:Understanding RAG Part V: Managing Context Length
Be sure to check out the previous articles in this series: β’
Published on: February 18, 2025 | Source:Become an AI Engineer for Free This Week
Learn AI for free on DataCamp from February 17 to 23.
Published on: February 17, 2025 | Source:Top 3 Video Generation Models
Generate high-quality videos in just a few minutes using these fast and accurate video generation models.
Published on: February 17, 2025 | Source:Tutorial: Semantic Clustering of User Messages with LLM Prompts
As a Developer Advocate, itβs challenging to keep up with user forum messages and understand the big picture of what users are saying. Thereβs plenty of valuable content β but how can you quickly spot the key conversations? In this tutorial, Iβll show you an AI hack to perform semantic clustering simply by prompting LLMs! [β¦] The post Tutorial: Semantic Clustering of User Messages with LLM Prompts appeared first on...
Published on: February 17, 2025 | Source:Parallelize NumPy Array Operations for Increased Speed
Enhance the array operational process with methods you may not have previously known.
Published on: February 17, 2025 | Source:On-Device Machine Learning in Spatial Computing
The landscape of computing is undergoing a profound transformation with the emergence of spatial computing platforms(VR and AR). As we step into this new era, the intersection of virtual reality, augmented reality, and on-device machine learning presents unprecedented opportunities for developers to create experiences that seamlessly blend digital content with the physical world. The introduction [β¦] The post On-Device...
Published on: February 17, 2025 | Source:Integrating TensorFlow and NumPy for Custom Operations
Combining the power of
Published on: February 17, 2025 | Source:How I Became A Machine Learning Engineer (No CS Degree, No Bootcamp)
Machine learning and AI are among the most popular topics nowadays, especially within the tech space. I am fortunate enough to work and develop with these technologies every day as a machine learning engineer! In this article, I will walk you through my journey to becoming a machine learning engineer, shedding some light and advice [β¦] The post How I Became A Machine Learning Engineer (No CS Degree, No Bootcamp)...
Published on: February 15, 2025 | Source:Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning
Introduction Data science is undoubtedly one of the most fascinating fields today.Following significant breakthroughs in machine learning about a decade ago, data science has surged in popularity within the tech community.Each year, we witness increasingly powerful tools that once seemed unimaginable.Innovations such as theTransformer architecture,ChatGPT, theRetrieval-Augmented Generation (RAG) framework, and...
Published on: February 14, 2025 | Source:Publish Interactive Data Visualizations for Free with Python and Marimo
Working in data science, it can be hard to share insights from complex datasets using only static figures. All the facets that describe the shape and meaning of interesting data are not always captured in a handful of pre-generated figures. While we have powerful technologies available for presenting interactive figuresβwhere a viewer can rotate, filter, [β¦] The post Publish Interactive Data Visualizations for Free...
Published on: February 14, 2025 | Source:5 Tips for Building a Data Science Portfolio
Not every data science portfolio is worth showcasing. Follow these five tips to build a portfolio that impresses employers and gets you a job.
Published on: February 14, 2025 | Source:Building a Data Engineering Center of Excellence
As data continues to grow in importance and become more complex, the need for skilled data engineers has never been greater. But what is data engineering, and why is it so important? In this blog post, we will discuss the essential components of a functioning data engineering practice and why data engineering is becoming increasingly [β¦] The post Building a Data Engineering Center of Excellence appeared first on...
Published on: February 14, 2025 | Source:Learnings from a Machine Learning Engineer β Part 5: The Training
In this fifth part of my series, I will outline the steps for creating a Docker container for training your image classification model, evaluating performance, and preparing for deployment. AI/ML engineers would prefer to focus on model training and data engineering, but the reality is that we also need to understand the infrastructure and mechanics [β¦] The post Learnings from a Machine Learning Engineer β Part 5: The...
Published on: February 13, 2025 | Source:Learnings from a Machine Learning Engineer β Part 3: The Evaluation
In this third part of my series, I will explore the evaluation process which is a critical piece that will lead to a cleaner data set and elevate your model performance. We will see the difference between evaluation of atrainedmodel (one not yet in production), and evaluation of adeployedmodel (one making real-world predictions). InPart 1, [β¦] The post Learnings from a Machine Learning Engineer β Part 3: The Evaluation...
Published on: February 13, 2025 | Source:Learnings from a Machine Learning Engineer β Part 1: The Data
It is said that in order for a machine learning model to be successful, you need to have good data. While this is true (and pretty much obvious), it is extremely difficult to define, build, and sustain good data. Let me share with you the unique processes that I have learned over several years building [β¦] The post Learnings from a Machine Learning Engineer β Part 1: The Data appeared first on Towards Data Science.
Published on: February 13, 2025 | Source:Learnings from a Machine Learning Engineer β Part 4: The Model
In this latest part of my series, I will share what I have learned on selecting a model for image classification and how to fine tune that model. I will also show how you can leverage the model to accelerate your labelling process, and finally how to justify your efforts by generating usage and performance [β¦] The post Learnings from a Machine Learning Engineer β Part 4: The Model appeared first on Towards Data...
Published on: February 13, 2025 | Source:Learnings from a Machine Learning Engineer β Part 2: The Data Sets
InPart 1, we discussed the importance of collecting good image data and assigning proper labels for your image classification project to be successful. Also, we talked about classes and sub-classes of your data. These may seem pretty straight forward concepts, but itβs important to have a solid understanding going forward. So, if you havenβt, please [β¦] The post Learnings from a Machine Learning Engineer β Part 2: The...
Published on: February 13, 2025 | Source:Bridging the Gap: Democratizing AI for All
Letβs explore how democratizing AI can level the playing field and create opportunities for all, no matter the background or resources.
Published on: February 13, 2025 | Source:How to Scale Sklearn with Dask
Here's how Dask applies the building blocks of sklearn to bring ML modeling workflows to the next level of scalability via high-performance parallel computing
Published on: February 13, 2025 | Source:Prompt Engineering Patterns for Successful RAG Implementations
You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition.
Published on: February 13, 2025 | Source:Should Data Scientists Care About Quantum Computing?
I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some over-the-top claims, like βsome company has proved quantum supremacy,β βthe quantum revolution is here,β or my favorite, βquantum computers are here, and it will make classical computers obsolete.β I am going to be honest with you; [β¦] The post Should Data Scientists Care About Quantum Computing? appeared first on...
Published on: February 13, 2025 | Source:Method of Moments Estimation with Python Code
Letβs say you are in a customer care center, and you would like to know the probability distribution of the number of calls per minute, or in other words, you want to answer the question: what is the probability of receiving zero, one, two, β¦ etc., calls per minute? You need this distribution in order [β¦] The post Method of Moments Estimation with Python Code appeared first on Towards Data Science.
Published on: February 13, 2025 | Source:How to Measure the Reliability of a Large Language Modelβs Response
The basic principle of Large Language Models (LLMs) is very simple: to predict the next word (or token) in a sequence of words based on statistical patterns in their training data. However, this seemingly simple capability turns out to be incredibly sophisticated when it can do a number of amazing tasks such as text summarization, [β¦] The post How to Measure the Reliability of a Large Language Modelβs Response appeared...
Published on: February 13, 2025 | Source:Manage Environment Variables with Pydantic
Introduction Developers work on applications that are supposed to be deployed on some server in order to allow anyone to use those. Typically in the machine where these apps live, developers set up environment variables that allow the app to run. These variables can be API keys of external services, URL of your database and [β¦] The post Manage Environment Variables with Pydantic appeared first on Towards Data Science.
Published on: February 12, 2025 | Source:Pandas Canβt Handle This: How ArcticDB Powers Massive Datasets
Python has grown to dominate data science, and its package Pandas has become the go-to tool for data analysis. It is great for tabular data and supports data files of up to 1GB if you have a large RAM. Within these size limits, it is also good with time-series data because it comes with some [β¦] The post Pandas Canβt Handle This: How ArcticDB Powers Massive Datasets appeared first on Towards Data Science.
Published on: February 12, 2025 | Source:Branching Out: 4 Git Workflows for Collaborating on ML
Itβs been more than 15 years since I finished my masterβs degree, but Iβm still haunted by the hair-pulling frustration of managing my ofRscripts. As a (recovering) perfectionist, I named each script very systematically by date (think:ancova_DDMMYYYY.r). A system I just *knew* was better than_v1,_v2,_finaland its frenemies. Right? Trouble was, every time I wanted to [β¦] The post Branching Out: 4 Git Workflows for...
Published on: February 12, 2025 | Source:5 LLM Prompting Techniques Every Developer Should Know
Want to make the most out of large language models? Check out these prompting techniques you can start using today.
Published on: February 12, 2025 | Source:Top 5 Freelancer Websites Better Than Fiverr and Upwork
Discover freelancing platforms that care about you, not just your money, offering low commission rate, better policies, and higher earning potential.
Published on: February 12, 2025 | Source:Implementing Multi-Modal RAG Systems
Large language models (LLMs) have evolved and permeated our lives so much and so quickly that many we have become dependent on them in all sorts of scenarios.
Published on: February 12, 2025 | Source:Build a Decision Tree in Polars from Scratch
Decision tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification and regression tasks. Combined with boosting, decision trees are still state-of-the-art in many applications. Frameworks such as sklearn, lightgbm, xgboost and catboost have done a very good job until today. However, in the past few months, [β¦] The post Build a Decision Tree in Polars from...
Published on: February 12, 2025 | Source:Virtualization & Containers for Data Science Newbies
Virtualization makes it possible to run multiple virtual machines (VMs) on a single piece of physical hardware. These VMs behave like independent computers, but share the same physical computing power. A computer within a computer, so to speak. Many cloud services rely on virtualization. But other technologies, such as containerization and serverless computing, have become [β¦] The post Virtualization & Containers...
Published on: February 12, 2025 | Source:4-Dimensional Data Visualization: Time in Bubble Charts
Bubble charts elegantly compress large amounts of information into a single visualization, with bubble size adding a third dimension. However, comparing βbeforeβ and βafterβ states is often crucial. To address this, we propose adding a transition between these states, creating an intuitive user experience. Since we couldnβt find a ready-made solution, we developed our own. [β¦] The post 4-Dimensional Data Visualization:...
Published on: February 12, 2025 | Source: