Why I’m Building SinaPilot: An AI Platform for Scientific Reasoning
Scientific research is moving faster than ever. Every week, thousands of new papers are published across medicine, biology, artificial intelligence,...
🚀 Snapshot Site API: Capture High-Resolution Website Screenshots Easily
The Snapshot Site API enables developers to generate high-quality screenshots of websites programmatically. Whether you need full-page captures or specific viewports, this API helps automate visual monitoring, SEO auditing, and thumbnail generation with minimal setup.
Building a serverless AI assistant at Pelago: concept to care in two weeks
TutoSartup excerpt from this article:
Each message a coach sends needs to reflect weeks of prior context and drafting that response manually from scratch takes time the care team doesn’t always have... An AI assistant that only understands the most recent messages isn’t useful here – it must grasp the full long-term conversation history... Care team members need information the moment they open a conversation but generating rel...
Each message a coach sends needs to reflect weeks of prior context and drafting that response manually from scratch takes time the care team doesn’t always have... An AI assistant that only understands the most recent messages isn’t useful here – it must grasp the full long-term conversation history... Care team members need information the moment they open a conversation but generating rel...
AI Teammates: how monday.com runs production AI agents on Amazon Bedrock
TutoSartup excerpt from this article:
AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday... Every PR an agent opens goes into a system millions of users expect to keep working through the next deploy... Running agents inside an enterprise SaaS with real on-call, customers, and compliance is the work... L2, skills and sub-agents... Teams build reusable agen...
AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday... Every PR an agent opens goes into a system millions of users expect to keep working through the next deploy... Running agents inside an enterprise SaaS with real on-call, customers, and compliance is the work... L2, skills and sub-agents... Teams build reusable agen...
Building multi-Region resiliency for AWS CloudFormation custom resource deployment
TutoSartup excerpt from this article:
Both Regions read from and write to the Global Table with strong consistency... Yet, when it comes to building resilient, multi-Region deployments with custom resources, customers quickly discover a gap: there is no built-in multi-Region support... While single-Region deployments can achieve high resilience, multi-Region architectures become essential for organizations that need to meet specific...
Both Regions read from and write to the Global Table with strong consistency... Yet, when it comes to building resilient, multi-Region deployments with custom resources, customers quickly discover a gap: there is no built-in multi-Region support... While single-Region deployments can achieve high resilience, multi-Region architectures become essential for organizations that need to meet specific...
Architecting offline-first generative AI applications for edge deployments using AWS services
TutoSartup excerpt from this article:
Generative AI offers a promising path to address this, but deploying these capabilities in industrial environments introduces a distinct architectural challenge: how do you bring the power of large-scale AI to locations where cloud connectivity is unreliable or unavailable? The answer lies in an offline-first architecture, one that moves AI inference to the edge while using cloud services for mo...
Generative AI offers a promising path to address this, but deploying these capabilities in industrial environments introduces a distinct architectural challenge: how do you bring the power of large-scale AI to locations where cloud connectivity is unreliable or unavailable? The answer lies in an offline-first architecture, one that moves AI inference to the edge while using cloud services for mo...
Iran Tensions Revive Worries Over Inflation and Rising Yields
TutoSartup excerpt from this article:
In late February, the US 10-year Treasury yield was trending lower, dipping below 4... The macro outlook at the time suggested the benchmark yield would dip even lower in the coming weeks, a view supported by the downside trending behavior that month... 28, the bombs started falling on Iran, an event that reversed the 10-year yield’s slide—a turnaround that has strengthened in July......
In late February, the US 10-year Treasury yield was trending lower, dipping below 4... The macro outlook at the time suggested the benchmark yield would dip even lower in the coming weeks, a view supported by the downside trending behavior that month... 28, the bombs started falling on Iran, an event that reversed the 10-year yield’s slide—a turnaround that has strengthened in July......
Do more with AWS WAF labels using dynamic label interpolation
TutoSartup excerpt from this article:
Managed rule groups such as AWS WAF Bot Control and AWS WAF Fraud Control account takeover prevention (ATP) attach labels that describe what they found... A label can record that a request came from a known bot category or that it matched a credential-stuffing pattern... You can also use labels to build tiered policies: a low-confidence bot signal might trigger a CAPTCHA challenge, whereas a high...
Managed rule groups such as AWS WAF Bot Control and AWS WAF Fraud Control account takeover prevention (ATP) attach labels that describe what they found... A label can record that a request came from a known bot category or that it matched a credential-stuffing pattern... You can also use labels to build tiered policies: a low-confidence bot signal might trigger a CAPTCHA challenge, whereas a high...
Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova
TutoSartup excerpt from this article:
When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive... As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs... However, reasoning is a key capability of the Amazon Nova 2 family of models, and it’s bee...
When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive... As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs... However, reasoning is a key capability of the Amazon Nova 2 family of models, and it’s bee...