Deep Dive: Human‑in‑the‑Loop Orchestration with Step Functions, Lambda & MCP

Building a Secure, Scalable AI Workflow as an AWS Marketplace Offering TL;DR Human‑in‑the‑Loop (HITL) integration adds a critical safety net for AI-driven processes by routing uncertain or high-stakes decisions to human experts. In this blog, we demonstrate our turnkey AWS Marketplace solution that leverages Step Functions to orchestrate the workflow, Lambda functions to execute discrete tasks, and MCP […]

Kiro AI IDE vs Cursor AI IDE

Pros, Cons, and Key Differences between two great AI IDEs As AI-assisted development tools continue to evolve, choosing the right IDE can significantly impact your coding productivity and workflow. After extensive hands-on testing with both Kiro AI IDE and Cursor AI IDE, I want to share my detailed comparison and insights to help you make an informed decision. […]

Hybrid Intelligence: Marrying Deterministic Code with LLMs for Robust Software Development

Balancing Rule-Driven Precision with Generative Flexibility   Executive Summary Traditional software, built solely on deterministic, rule-based logic, guarantees reliability and predictability but often struggles to adapt. Large language models (LLMs), by contrast, offer flexibility and cognitive capabilities but can be unpredictable. A hybrid approach — combining deterministic code with LLM-driven reasoning — yields systems that […]

Computer Vision: Image Generator Networks

ChatGPT Generated Understanding of this Article A Look at the Core Concepts and How T2I has Evolved I am a Machine Learning Engineer by trade and a Computer Vision scientist by education, so any use case where computers are trying to learn the wonderful world outside (machine learning), primarily using visual information (computer vision) gives […]

An In-Depth Overview of Electrical Generation, Transmission, Distribution, and Future Innovations

High level conceptual picture of Generation, Transmission and Distribution Systems Electricity powers modern civilization, enabling technological advancements and industrial growth. Its journey from generation to end-users involves intricate systems of infrastructure and management. This whitepaper explores the critical stages of this journey — generation, transmission, and distribution — while examining the transformative potential of Distributed […]

Needle in a Haystack: A Rag Architecture and Use Case for Biotech

AI Acceleration with Pluton Bioscience If you’ve ever had to navigate a complex research process, you likely understand the challenges of sifting through vast amounts of information to find specific, valuable insights. Our partners at Pluton Biosciences have faced similar hurdles in their work. These research processes, while essential for gaining critical knowledge, can be […]

Core Concepts for Small Language Models

Foundational Computational Linguistics Concepts and how they relate to Language Models LLMs are all the rage, and to use them effectively as engineers and users of any kind we could benefit from thinking about them in the context of some core Natural Language Processing (NLP) concepts. At New Math Data, we’ve been building a lot […]

September Databricks Updates

Clean Room Monitoring, VS Code Extension, and System Tables GA Introduction As organizations continue to scale their data and AI operations, effective monitoring, streamlined development, and transparent billing have become crucial for maintaining efficiency. This September, Databricks has introduced several powerful updates designed to address these needs. From the ability to track clean room usage […]

Databricks Notebooks Reimagined: Simplicity Meets Power

Streamlined UX, Powerful Tools, and AI Integration Introduction Having powerful and intuitive tools is crucial for success. Databricks has recently unveiled the next generation of its Notebooks, bringing a host of new features designed to enhance productivity and ease of use. This update includes a modernized user interface, advanced Python capabilities, and AI-powered authoring tools, […]

LLMs and chatbots: a brief update

Generally and historically, data engineering, analytics, and science efforts focused on progressing from data to knowledge/wisdom. The emergence of LLMs allows for the decomposition of wisdom/knowledge back down to data. This can enable novel discovery, integrate with information systems, and drive automated processes. GenAI Categories Generation: Use bedrock models to create code, text, or images […]