×
![]()
Mathematical intuition and practical considerations for NLP scenarios
The post Demystifying Cosine Similarity appeared first on Towards Data Science.
It also failed on a simple algebra arithmetic problem that elementary schoolers could probably nail, 5.9 = x + 5.11.
The foundational instructions that govern the operation and user/model interaction of language models (also known as system prompts) are able to offer insights into how we — as users, AI practitioners, and developers — can optimize our interactions, approach future model advancements, and develop useful language model-driven applications.
Generate strategic feature engineering recommendations using AI-powered workflows in n8n.
Beginning this week, you'll see us testing a new Google Finance, reimagined with AI at its core. Here’s what to expect:Research your finance questions with AI: Now, you …
OpenAI has announced GPT-5 will replace all models on ChatGPT. Many users are mourning the workhorse model.
Black Hat 2025 delivered performance metrics from beta programs and agentic AI deployments, proving results are being delivered over hype.
The moment we’ve all been waiting + our full GPT-5 live video walkthrough
Explore how STL uses LOESS smoothing to extract trend and seasonal components.
The post Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing appeared first on Towards Data Science.
Jay Alammar, director and Engineering Fellow at Cohere, joins Ben Lorica to talk about building AI applications for the enterprise, using RAG effectively, and the evolution of RAG into agents. Listen in to find out what kinds of metadata you need when you’re onboarding a new model or agent; discover how an emphasis on evaluation […]
Feature engineering is one of the most important steps when it comes to building effective machine learning models, and this is no less important when dealing with time-series data.
Metrics to track for RAG and agents, plus the frameworks that help
The post Agentic AI: On Evaluations appeared first on Towards Data Science.
From random example selection to systematic AuPair generation — how to make your LLM prompts actually work
The post Finding Golden Examples: A Smarter Approach to In-Context Learning appeared first on Towards Data Science.
Applying the Squeeze and Excitation module on ResNeXt using PyTorch
The post The Channel-Wise Attention | Squeeze and Excitation appeared first on Towards Data Science.
With safer design, more robust reasoning, expanded developer tooling, and broad user access, GPT-5 reflects a maturing AI ecosystem.
OpenAI released GPT-5 on Thursday to both free users of ChatGPT and paying subscribers.
At long last, OpenAI has released GPT-5. The new system abandons the distinction between OpenAI’s flagship models and its o series of reasoning models, automatically routing user queries to a fast nonreasoning model or a slower reasoning version. It is now available to everyone through the ChatGPT web interface—though nonpaying users may need to wait…
In this post, we discuss how DTDC and ShellKode used Amazon Bedrock to build DIVA 2.0, a generative AI-powered logistics agent.
This post explores a practical collaboration, integrating Salesforce Agentforce with Amazon Bedrock Agents and Amazon Redshift, to automate enterprise workflows.
Discord users are already using video game characters to bypass the UK’s age-check laws. AI deepfakes could make things even more complicated.
This Google ChromeOS collaboration with NASA uses AI to visualize the unseeable.
Our Perch AI model helps conservationists analyze bioacoustic data to protect endangered species like birds and coral reefs.
Our new Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs.
Our new Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs.
Here are Google’s latest AI updates from July 2025
Learn backend development through hands-on projects, best practices, and learning paths for building secure, scalable, and efficient web applications.
In this post, we share how we built Account Plan Pulse, a generative AI tool designed to streamline and enhance the account planning process, using Amazon Bedrock. Pulse reduces review time and provides actionable account plan summaries for ease of collaboration and consumption, helping AWS sales teams better serve our customers.
Before you prompt, engineer your context. Here’s the beginner’s guide everyone needs.
One of the fastest-growing areas of technology is machine learning, but even seasoned professionals occasionally stumble over new terms and jargon. It is simple to get overwhelmed by the plethora of technical terms as research speeds up and new architectures, loss functions, and optimisation techniques appear. This blog article is your carefully chosen reference to […]
The post 50+ Must-Know Machine Learning Terms You (Probably) Haven’t Heard Of appeared first on Analytics Vidhya.
Unless you’re someone who lives and breathes cybersecurity, chances are you didn’t think much about authentication, network exposure, or what happens if someone else finds your server. This guide isn’t here to kill the excitement—it’s here to help you use MCP without opening the door to trouble.
The post The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons appeared first on Towards Data Science.