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Exploring ways to make voice assistants more personal
The post How to Develop a Bilingual Voice Assistant appeared first on Towards Data Science.
For ML practitioners, the natural expectation is that a new ML model that shows promising results offline will also succeed in production. But often, that’s not the case. ML models that outperform on test data can underperform for real production users. This discrepancy between offline and online metrics is often a big challenge in applied […]
The post Beyond AUC and RMSE: How to Align Offline Metrics with Real-World KPIs appeared first on Analytics Vidhya.
August 2025: logging, lab notebooks, overnight runs
The post The Machine Learning Lessons I’ve Learned This Month appeared first on Towards Data Science.
The physical meaning of matrix inversion, related formulas, and how inversion behaves on several special types of matrices.
The post Understanding Matrices | Part 4: Matrix Inverse appeared first on Towards Data Science.
How to build a fully functional, hands-free voice assistant on a Raspberry Pi
The post Crafting a Custom Voice Assistant with Perplexity appeared first on Towards Data Science.
Meta’s bold move, major AI breach, AI’s secret life, TIME100 AI, AGI hype, and more...
In today’s dynamic business environment, a company’s approach to customer experience can significantly impact its brand perception. One poor interaction, such as a missed delivery or an unhelpful agent, and the relationship often doesn’t recover. Industry data puts it into perspective: Nearly 32% of consumers abandon a brand after just one bad experience. The stakes […]
The post How Dentsu Uses Generative Machine Learning to Transform Customer Service? appeared first on Analytics Vidhya.
Software spending now makes up 40% of cybersecurity budgets, with investment expected to grow as CISOs prioritize real-time AI defenses.
M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data needs of retraining.
This is the inside story of Intuit's transformation journey with AI — including a grueling nine-month pivot to "burn the boats" and reinvent how the 40-year-old finance giant builds its products.
To kick off the second episode in Season 8 of the Made by Google podcast, host Rachid Finge asks Pixel Product Manager Stephanie Scott to describe the Pixel 10 phones in…
AI cybercrime and ransomware, GPT-Realtime, AI NPCs, Anthropic deadline, and more...
We’re excited to announce new security capabilities in Datadog Cloud Security that can help you detect and remediate Amazon Bedrock misconfigurations before they become security incidents. This integration helps organizations embed robust security controls and secure their use of the powerful capabilities of Amazon Bedrock by offering three critical advantages: holistic AI security by integrating AI security into your broader cloud security strategy, real-time risk detection through identifying potential AI-related security issues as they emerge, and simplified compliance to help meet evolving AI regulations with pre-built detections.
In this post, we show you how to create custom domain names for your Amazon Bedrock AgentCore Runtime agent endpoints using CloudFront as a reverse proxy. This solution provides several key benefits: simplified integration for development teams, custom domains that align with your organization, cleaner infrastructure abstraction, and straightforward maintenance when endpoints need updates.
In this post, we announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, enabling efficient scaling of SageMaker HyperPod clusters to meet inference and training demands. We dive into the benefits of Karpenter and provide details on enabling and configuring Karpenter in SageMaker HyperPod EKS clusters.
Demystifying Bayesian hyperparameter optimization and comparing hyperparameter tuning paradigms
The post Marginal Effect of Hyperparameter Tuning with XGBoost appeared first on Towards Data Science.
This research answered the question: How can machine learning and artificial intelligence help us to unlearn bias?
The post Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks appeared first on Towards Data Science.
Explore how to transcribe videos with speaker identification in a single prompt
The post Unlocking Multimodal Video Transcription with Gemini appeared first on Towards Data Science.
A partnership between xAI and the US government fell apart earlier this summer. Then the White House apparently got involved, per documents obtained by WIRED.
Experimenting, fine-tuning, scaling, and more are key aspects that machine learning development workflows thrive on.
From VOC to JSON: Importing pre-annotations made simple
The post How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker appeared first on Towards Data Science.
OpenAI's new speech model, gpt-realtime, hopes that its more naturalistic voices would make enterprises use more AI generated voices in applications.
Nous Research launches Hermes 4 open-source AI models that outperform ChatGPT on math benchmarks with uncensored responses and hybrid reasoning capabilities.
We explored our latest investigations into how tech is shaping education today.
Behind Nvidia's strong quarterlyu results are ASICs gaining ground in key Nvidia segments, challenging their growth in the quarters to come.
By using two co-evolving AI models, the R-Zero framework generates its own learning curriculum, moving beyond the need for labeled datasets.
This post describes the agentic AI assistant built by the Government of the City of Buenos Aires and the GenAIIC to respond to citizens’ questions about government procedures. The solution consists of two primary components: an input guardrail system that helps prevent the system from responding to harmful user queries and a government procedures agent that retrieves relevant information and generates responses.
In this post, we provide a data imputation solution using Amazon SageMaker AI, AWS Lambda, and AWS Step Functions. This solution is designed for environmental analysts, public health officials, and business intelligence professionals who need reliable PM2.5 data for trend analysis, reporting, and decision-making. We sourced our sample training dataset from openAFRICA. Our solution predicts PM2.5 values using time-series forecasting.
The Amazon Finance technical team develops and manages comprehensive technology solutions that power financial decision-making and operational efficiency while standardizing across Amazon’s global operations. In this post, we explain how the team conceptualized and implemented a solution to these business challenges by harnessing the power of generative AI using Amazon Bedrock and intelligent search with Amazon Kendra.
A beginner-friendly project to understand variables, loops, and conditions in Python
The post Implementing the Hangman Game in Python appeared first on Towards Data Science.