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In this post, we walk through how to streamline your RAG development lifecycle from experimentation to automation, helping you operationalize your RAG solution for production deployments with Amazon SageMaker AI, helping your team experiment efficiently, collaborate effectively, and drive continuous improvement.
In this post, we explore how log probabilities work with imported models in Amazon Bedrock. You will learn what log probabilities are, how to enable them in your API calls, and how to interpret the returned data. We also highlight practical applications—from detecting potential hallucinations to optimizing RAG systems and evaluating fine-tuned models—that demonstrate how these insights can improve your AI applications, helping you build more trustworthy solutions with your custom models.
This post provides a systematic approach to migrating from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock. We examine the key model differences, highlight essential migration considerations, and deliver proven best practices to transform this necessary transition into a strategic advantage that drives measurable value for your organization.
Why do we still wrestle with documents in 2025? Spend some time in any data-driven organisation, and you’ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats into something their Python […]
The post Docling: The Document Alchemist appeared first on Towards Data Science.
A new Google DeepMind image editing model, fondly known as Nano Banana, is now in the Gemini app, giving you more creative control to blend and edit photos.
Images. Text. Audio. There’s no modality that is not handled by AI. And AI systems reach even further, planning advertisement and marketing campaigns, automating social media postings, … Most of this was unthinkable a mere ten years ago. But then, the first machine learning-driven algorithms did their initial steps: out of the research labs, into […]
The post If we use AI to do our work – what is our job, then? appeared first on Towards Data Science.
Think the Python Standard Library is predictable? Think again. This article covers interesting ways to use familiar functions in interesting contexts.
Anthropic agreed to a $1.5 billion settlement for authors whose books were used to train its AI model. As an author who fits that description, I’ve come around to the idea.
Ida Silfverskiöld on AI agents, RAG, evals, and what design choice ended up mattering more than expected
The post Generalists Can Also Dig Deep appeared first on Towards Data Science.
Data is everywhere, but how do you draw insights from it? Often, structured data is stored in relational databases, meaning collections of related tables of data. For instance, a company might store customer purchases in one table, customer demographics in another, and suppliers in a third table. These tables can then be joined together and […]
The post A Focused Approach to Learning SQL appeared first on Towards Data Science.
Check out these five simple yet powerful tips for your Hugging Face work.
We introduce VaultGemma, the most capable model trained from scratch with differential privacy.
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. It’s been a big year for video generation. In the last nine months OpenAI made Sora public, Google DeepMind launched Veo 3, the video startup Runway…
In real-world video and image analysis, businesses often face the challenge of detecting objects that weren’t part of a model’s original training set. This becomes especially difficult in dynamic environments where new, unknown, or user-defined objects frequently appear. In this post, we explore how Amazon Bedrock Data Automation uses OSOD to enhance video understanding.
Context, not computation, is the real currency of intelligent systems
The post Why Context Is the New Currency in AI: From RAG to Context Engineering appeared first on Towards Data Science.
Skello is a leading human resources (HR) software as a service (SaaS) solution focusing on employee scheduling and workforce management. Catering to diverse sectors such as hospitality, retail, healthcare, construction, and industry, Skello offers features including schedule creation, time tracking, and payroll preparation. We dive deep into the challenges of implementing large language models (LLMs) for data querying, particularly in the context of a French company operating under the General Data Protection Regulation (GDPR).
In this post, we present a complete solution for programmatically creating private workforces on Amazon SageMaker AI using the AWS Cloud Development Kit (AWS CDK), including the setup of a dedicated, fully configured Amazon Cognito user pool.
Learn more about Google Meet’s real-time language translation feature.
Open Source Jarvis, telepathy tech, caveman coding, AI saves a life, and more...
Learn to enhance your LLMs with my 3 step process, inspecting, improving and iterating on your LLMs
The post How to Analyze and Optimize Your LLMs in 3 Steps appeared first on Towards Data Science.
Machine learning is behind many of the technologies that influence our lives today, ranging from recommendation systems to fraud detection. However, the capability to construct models that actually address our problems involves more than programming skills. Therefore, a successful machine learning development hinges on bridging technical work with practical need and ensuring that solutions generate […]
The post Tips for Building ML Models that Solve Real Problems appeared first on Analytics Vidhya.
AI-assisted coding was something virtually nobody could even imagine a few years back, but to some extent, it has now become part of many developers’ workflows — be it for generating specific code snippets, debugging existing code, or even orchestrating tasks.
How research-backed color principles improved clarity and storytelling in my dashboards
The post The Crucial Role of Color Theory in Data Analysis and Visualization appeared first on Towards Data Science.
Discover the free Microsoft course that provides an engaging 12-lesson introduction to agentic AI, featuring hands-on coding examples and multi-language support, making it an ideal pathway for beginners to explore this exciting field.
What if uncertainty wasn’t something to simply endure but something to actively exploit? The convergence of Nassim Taleb’s antifragility principles with generative AI capabilities is creating a new paradigm for organizational design powered by generative AI—one where volatility becomes fuel for competitive advantage rather than a threat to be managed. The Antifragility Imperative Antifragility transcends […]
Comparing Variable Distributions Between Two Datasets Using Population Stability Index (PSI) and Cramér’s V.
The post Is Your Training Data Representative? A Guide to Checking with PSI in Python appeared first on Towards Data Science.
Mustafa Suleyman says that designing AI systems to exceed human intelligence—and to mimic behavior that suggests consciousness—would be “dangerous and misguided.”
Lessons from a multi-node simulator
The post Fighting Back Against Attacks in Federated Learning appeared first on Towards Data Science.
We are excited to announce the availability of the Technology Innovation Institute (TII)’s Falcon-H1 models on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now use six instruction-tuned Falcon-H1 models (0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and 34B) on AWS, and have access to a comprehensive suite of hybrid architecture models that combine traditional attention mechanisms with State Space Models (SSMs) to deliver exceptional performance with unprecedented efficiency.
Here are Google’s latest AI updates from August 2025