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We launched constrained decoding to provide reliability when using tools for structured outputs. Now, tools can be used with Amazon Nova foundation models (FMs) to extract data based on complex schemas, reducing tool use errors by over 95%. In this post, we explore how you can use Amazon Nova FMs for structured output use cases.
Learn how to enhance Amazon Q with custom plugins to combine semantic search capabilities with precise analytics for AWS Support data. This solution enables more accurate answers to analytical questions by integrating structured data querying with RAG architecture, allowing teams to transform raw support cases and health events into actionable insights. Discover how this enhanced architecture delivers exact numerical analysis while maintaining natural language interactions for improved operational decision-making.
In regression models , failure occurs when the model produces inaccurate predictions — that is, when error metrics like MAE or RMSE are high — or when the model, once deployed, fails to generalize well to new data that differs from the examples it was trained or tested on.
In this post, we first introduce the Strands Agents SDK and its core features. Then we explore how it integrates with AWS environments for secure, scalable deployments, and how it provides rich observability for production use. Finally, we discuss practical use cases, and present a step-by-step example to illustrate Strands in action.
Image segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking a model backbone (e.g., U-Net) and fine-tuning it on specialized datasets. While fine-tuning works well, the emergence of GPT-2 and […]
The post FastSAM for Image Segmentation Tasks — Explained Simply appeared first on Towards Data Science.
Learn how to LLMs are benchmarked, and try out the newly released ARC AGI 3
The post How to Benchmark LLMs – ARC AGI 3 appeared first on Towards Data Science.
Behind closed doors, Chinese researchers are laying the groundwork for a new global AI agenda—without input from the US.
Are LLMs good or bad for our mental health? It’s more complicated than that.
The post LLMs and Mental Health appeared first on Towards Data Science.
Are you looking to become a data scientist and don’t know where to start? In this article, I want to provide you with a straightforward, no-nonsense learning roadmap that you can follow to break into the industry. By the end, you’ll finally have a clear understanding of what is required and the best resources to […]
The post The ONLY Data Science Roadmap You Need to Get a Job appeared first on Towards Data Science.
In this post, we introduce how to combine Strands Agents with Tavily’s purpose-built web intelligence API, to create powerful research agents that excel at complex information gathering tasks while maintaining the security and compliance standards required for enterprise deployment.
Informatica's data platform evolution shows how it uses AI to actually serve enterprise needs.
Discover the leading CI/CD tools that are transforming how teams automate integration and deployment.
For the past couple of years, OpenAI has felt like a one-man brand. With his showbiz style and fundraising glitz, CEO Sam Altman overshadows all other big names on the firm’s roster. Even his bungled ouster ended with him back on top—and more famous than ever. But look past the charismatic frontman and you get…
Meta CEO Mark Zuckerberg told investors that his new research lab will focus on building AI models that can learn with minimal human input.
LangChain allows enterprises to make and calibrate a model to evaluate applications and get it close to human preferences.
AI fakes, Zuck’s vision, open-source AI video gen, AI age checks, ChatGPT Study Mode, and more...
AI fakes, Zuck’s vision, open-source AI video gen, AI age checks, ChatGPT Study Mode, and more...
A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a new Anthropic study warns.
IBM's 2025 Cost of a Data Breach Report reveals that breaches involving unauthorized AI tools now average $4.63M.
AlphaEarth Foundations is a chip off the Google DeepMind block—and it’s here to help save the world.
RunSybil, a startup founded by OpenAI’s first security researcher, deploys agents that probe websites for vulnerabilities—part of a new AI era for cybersecurity.
Discover the best proxy provider that fits your workflow, goals, and budget.
Retraining is easy; knowing when not to is the real challenge. In machine learning, performance drops are rarely about stale weights; they’re about misunderstood signals.
The post The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix appeared first on Towards Data Science.
How to evaluate classification models and understand which metric matters the most.
The post Confusion Matrix Made Simple: Accuracy, Precision, Recall & F1-Score appeared first on Towards Data Science.
In this post, we show how you can build an automated, serverless solution to transform webinar recordings into comprehensive handouts using Amazon Bedrock Data Automation for video analysis. We walk you through the implementation of Amazon Bedrock Data Automation to transcribe and detect slide changes, as well as the use of Amazon Bedrock foundation models (FMs) for transcription refinement, combined with custom AWS Lambda functions orchestrated by AWS Step Functions.
In today’s fast-paced, distraction-heavy world, data literacy isn’t just about understanding charts or analyzing numbers—it’s about context, clarity, and human connection. With attention spans shrinking and AI-generated insights flooding our screens, even highly skilled professionals can behave like data novices. The real challenge isn’t technical know-how, but guiding overwhelmed audiences through stories that are clear, relevant, and actionable. True data literacy now means thinking beyond dashboards—framing insights with empathy, simplifying messages, and helping people stay focused long enough to make smart decisions.
The post What Is Data Literacy in 2025? It’s Not What You Think appeared first on Towards Data Science.
This blog post explores how to create powerful agentic applications using the Amazon Bedrock FMs, LangGraph, and the Model Context Protocol (MCP), with a practical scenario of handling a GitHub workflow of issue analysis, code fixes, and pull request generation.
Why you should read this article Most data scientists whip up a Jupyter Notebook, play around in some cells, and then maintain entire data processing and model training pipelines in the same notebook. The code is tested once when the notebook was first written, and then it is neglected for some undetermined amount of time […]
The post Automated Testing: A Software Engineering Concept Data Scientists Must Know To Succeed appeared first on Towards Data Science.
Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. The Trump administration recently declared war on so-called “woke AI,” issuing an executive order aimed at preventing companies whose models exhibit a liberal…
So perhaps, these competing visions of superintelligence are actually far more similar than they are opposed.