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The Easiest Way to Create Real-Time AI Voice Agents
Forget Alexa β now you can build your own real-time AI voice assistant in just minutes!
Published on: April 15, 2025 | Source:
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An LLM-Based Workflow for Automated Tabular Data ValidationΒ
Clean data, clear insights: detect and correct data quality issues without manual intervention. The post An LLM-Based Workflow for Automated Tabular Data Validation appeared first on Towards Data Science.
Published on: April 14, 2025 | Source:Layers of the AI Stack, Explained Simply
And why I decided to work at the application layer The post Layers of the AI Stack, Explained Simply appeared first on Towards Data Science.
Published on: April 14, 2025 | Source:Generating and Visualizing Context Vectors in Transformers
This post is divided into three parts; they are: β’ Understanding Context Vectors β’ Visualizing Context Vectors from Different Layers β’ Visualizing Attention Patterns Unlike traditional word embeddings (such as Word2Vec or GloVe), which assign a fixed vector to each word regardless of context, transformer models generate dynamic representations that depend on surrounding words.
Published on: April 14, 2025 | Source:DolphinGemma: How Google AI is helping decode dolphin communication
DolphinGemma, a large language model developed by Google, is helping scientists study how dolphins communicate β and hopefully find out what they're saying, too.
Published on: April 14, 2025 | Source:Tips for Effective Data Cleaning with Python
Effective data cleaning ensures accurate analysis. Discover Python tips to handle missing values, outliers, and inconsistencies with ease.
Published on: April 14, 2025 | Source:3 APIs to Access Gemini 2.5 Pro
The developer-friendly APIs provide free and easy access to Gemini 2.5 Pro for advanced multimodal AI tasks and content generation.
Published on: April 14, 2025 | Source:5 Lessons Learned Building RAG Systems
Retrieval augmented generation (RAG) is one of 2025's hot topics in the AI landscape.
Published on: April 14, 2025 | Source:10 Free Data Science Books For 2025
Are you looking to boost your data science skills? We've compiled an excellent list of free data science books to support your learning journey
Published on: April 14, 2025 | Source:Sesameβ Speech Model: βHow This Viral AI Model Generates Human-Like Speech
A deep dive into residual vector quantizers, conversational speech AI, and talkative transformers. The post Sesame Speech Model: How This Viral AI Model Generates Human-Like Speech appeared first on Towards Data Science.
Published on: April 12, 2025 | Source:Learnings from a Machine Learning Engineer β Part 6: The Human Side
Practical advice for the humans involved with machine learning The post Learnings from a Machine Learning Engineer β Part 6: The Human Side appeared first on Towards Data Science.
Published on: April 11, 2025 | Source:Are You Sure Your Posterior Makes Sense?
A detailed guide on how to use diagnostics to evaluate the performance of MCMC samplers The post Are You Sure Your Posterior Makes Sense? appeared first on Towards Data Science.
Published on: April 11, 2025 | Source:Understanding RAG Part X: RAG Pipelines in Production
Be sure to check out the previous articles in this series: β’
Published on: April 11, 2025 | Source:Building A Simple MCP Server
Give your LLMs the extra ability to fetch live stock prices, compare them, and provide historical analysis by implementation tools within the MCP Server.
Published on: April 11, 2025 | Source:The Basis of Cognitive Complexity: Teaching CNNs to See Connections
Transforming CNNs: From task-specific learning to abstract generalization The post The Basis of Cognitive Complexity: Teaching CNNs to See Connections appeared first on Towards Data Science.
Published on: April 11, 2025 | Source:The Invisible Revolution: How Vectors Are (Re)defining Business Success
The hidden force behind AI is powering the next wave of business transformation The post The Invisible Revolution: How Vectors Are (Re)defining Business Success appeared first on Towards Data Science.
Published on: April 10, 2025 | Source:How to Measure Real Model Accuracy When Labels Are Noisy
The math behind βtrueβ accuracy and error correlation The post How to Measure Real Model Accuracy When Labels Are Noisy appeared first on Towards Data Science.
Published on: April 10, 2025 | Source:Ivory Tower Notes: TheΒ Problem
When a data science problem is "the"problem The post Ivory Tower Notes: TheProblem appeared first on Towards Data Science.
Published on: April 10, 2025 | Source:How to Use Mind Maps in NotebookLM
In this article, weβll explain how to use mind maps within NotebookLM to enhance your productivity and comprehension.
Published on: April 10, 2025 | Source:Understanding RAG Part IX: Fine-Tuning LLMs for RAG
Be sure to check out the previous articles in this series: β’
Published on: April 10, 2025 | Source:WTF is a Transformer?
In this article, weβll explore what a transformer is, how it originated, why it became so successful that it powered one of the most groundbreaking AI advances, the large language model.
Published on: April 10, 2025 | Source:Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o
Inside Deb8flow: Real-time AI debates with LangGraph and GPT-4o The post Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o appeared first on Towards Data Science.
Published on: April 10, 2025 | Source:Why CatBoost Works So Well: The Engineering Behind the Magic
CatBoost stands out by directly tackling a long-standing challenge in gradient boostingβhow to handle categorical variables effectively without causing target leakage. By introducing innovative techniques such as Ordered Target Statistics and Ordered Boosting, and by leveraging the structure of Oblivious Trees, CatBoost efficiently balances robustness and accuracy. These methods ensure that each prediction uses only...
Published on: April 10, 2025 | Source:Time Series Forecasting Made Simple (Part 1): Decomposition and BaselineΒ Models
Learn the intuition behind time series decomposition, additive vs. multiplicative models and build your first forecasting baseline model using Python The post Time Series Forecasting Made Simple (Part 1): Decomposition and BaselineModels appeared first on Towards Data Science.
Published on: April 09, 2025 | Source:Data Cleaning with Bash: A Handbook for Developers
Tired of dragging messy data through bloated tools? This handbook shows how to clean and transform datasets with Bash.
Published on: April 09, 2025 | Source:How to Perform Scikit-learn Hyperparameter Optimization with Optuna
Optuna is a machine learning framework specifically designed for automating hyperparameter optimization , that is, finding an externally fixed setting of machine learning model hyperparameters that optimizes the modelβs performance.
Published on: April 09, 2025 | Source:Accessing Local LLMs Remotely Using TailScale: A Step-by-Step Guide
Explore how you can remotely access local LLMs.
Published on: April 09, 2025 | Source:A Data Scientistβs Guide to Docker Containers
How to enable your ML model to runanywhere The post A Data Scientistβs Guide to Docker Containers appeared first on Towards Data Science.
Published on: April 08, 2025 | Source:Unlock the Power of ROC Curves: Intuitive Insights for Better Model Evaluation
Go beyond the definitions: grasp the real meaning of AUC and ROC analysis for practical data science The post Unlock the Power of ROC Curves: Intuitive Insights for Better Model Evaluation appeared first on Towards Data Science.
Published on: April 08, 2025 | Source:Circuit Tracing: A Step Closer to Understanding Large LanguageΒ Models
Reverse-engineering large languages models' computation circuit to understand their decision-making processes The post Circuit Tracing: A Step Closer to Understanding Large LanguageModels appeared first on Towards Data Science.
Published on: April 08, 2025 | Source:5 Reasons Why Traditional Machine Learning is Alive and Well in the Age of LLMs
Nowadays, everyone across AI and related communities talks about generative AI models, particularly the large language models (LLMs) behind widespread applications like ChatGPT, as if they have completely taken over the field of machine learning.
Published on: April 08, 2025 | Source:Gemini RAG Recipe with Query Enhancement
Implement a RAG system using this recipe with Gemini and ChromaDB.
Published on: April 08, 2025 | Source:NVIDIA GTC 2025: What Happened at the Super Bowl of AI
From the unveiling of the Rubin AI chips to what the next multi-trillion dollar industry is.
Published on: April 08, 2025 | Source:2 Simple But Frequently Used Red Flags to Avoid on Your Resume
In this article, we will go through 2 simple but effective tips on how you can optimise your resume.
Published on: April 08, 2025 | Source:Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations
The simple tricks for using AVMU, or Automated Valuation Model Uncertainty, to make your home buying decisions more confident and less risky! The post Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations appeared first on Towards Data Science.
Published on: April 08, 2025 | Source: