AI/ML Resources

Chat History for AI Applications With Azure Cosmos DB Go SDK

Build a chat history implementation with Azure Cosmos DB for NoSQL Go SDK and LangChainGo, enhancing LLM context and enabling efficient testing with Testcontainers.

March 12, 2025

by Abhishek Gupta

CORE

· 3,885 Views · 3 Likes

Enhanced Monitoring Pipeline With Advanced RAG Optimizations

A refined RAG pipeline integrates advanced observability, rigorous evaluation metrics, end-to-end security, performance optimizations, and production-ready features.

March 11, 2025

by Praveen Kumar Thopalle

· 6,085 Views

The LLM Advantage: Smarter Time Series Predictions With Less Effort

LLMs simplify time series forecasting by handling messy data and context. Combined with stats, they cut errors by 31%, delivering better, easier forecasts.

March 11, 2025

by Vinoth Manamala Sudhakar

· 5,914 Views · 2 Likes

How to Build a ChatGPT Super App

SingleStore's database integrates LLMs to enhance contextual insights, supporting advanced customer engagement in applications like chatbots.

March 10, 2025

by Akmal Chaudhri

CORE

· 4,315 Views · 4 Likes

ETL With Large Language Models: AI-Powered Data Processing

LLMs transform ETL with schema-less extraction, adaptive transformations, and multi-modal support, enabling scalable, efficient, and accessible data workflows.

March 10, 2025

by Suri (thammuio)

CORE

· 31,683 Views

Generative AI Agents: Transforming Supply Chain Management

LLMs are transforming supply chain management through orchestrated specialized agents that enhance forecasting, planning, and decision-making.

March 10, 2025

by Meghana Puvvadi

· 4,230 Views

Real-Time Fraud Detection Using AI and Machine Learning

Real-time fraud detection using AI and ML techniques like behavioral analytics, device fingerprinting, and risk scoring.

March 10, 2025

by Milavkumar Shah

· 14,004 Views · 1 Like

Soaking in the Pressure of Using AI

This article provides a framework for architects and development teams on how to make wise decisions on building AI powered solutions for business problems.

March 10, 2025

by Rahul Sharma

· 1,726 Views

Is AI Responsible for Its Actions, or Should Humans Take the Blame?

AI isn’t responsible — humans are. It’s just a tool that follows our rules. If AI fails, it’s because of how we built, trained, or used it.

March 10, 2025

by Manas Dash

CORE

· 2,932 Views · 3 Likes

Floyd's Cycle Algorithm for Fraud Detection in Java Systems

Floyd’s Cycle Algorithm detects cyclic patterns in graphs to help identify fraudulent transaction loops in financial systems and prevent money laundering.

March 7, 2025

by Sulakshana Singh

· 6,873 Views · 1 Like

A Glimpse Into the Future for Developers and Leaders

Advancements in AI, machine learning, automation, and evolving architecture patterns will shape the future of software development.

March 7, 2025

by Sangame Krishnamani

· 5,681 Views · 4 Likes

How Explainable AI Is Building Trust in Everyday Products

Explainable AI builds trust by clarifying AI decisions, enhancing user confidence across industries like e-commerce, healthcare, and entertainment.

March 6, 2025

by Shailesh Chauhan

· 3,673 Views · 3 Likes

Automating Podcast Promotion With AI and Event-Driven Design

How I built an AI-powered LinkedIn post generator using Next.js, OpenAI's GPT and Whisper models, Apache Kafka, and Apache Flink.

March 6, 2025

by Sean Falconer

· 4,160 Views · 1 Like

Dynamic Forms With Camunda and Spring StateMachine

A blueprint for building adaptive and future-proof process automation systems, ensuring they can respond quickly to changing business needs.

March 6, 2025

by Kyriakos Mandalas

CORE

· 5,773 Views · 4 Likes

DevOps: The Key to Reliable AI Data and Governance

Explore the role of DevOps in establishing reliable AI data and governance frameworks, enhancing your organization's data integrity and operational success.

March 6, 2025

by Pritesh Patel

· 3,492 Views

Why Text2SQL Alone Isn’t Enough: Embracing TAG

Table-augmented generation (TAG) and LOTUS bridge AI and databases, enabling complex queries using LLMs. They address the limits of Text2SQL and RAG models.

March 5, 2025

by Pavan Emani

· 3,616 Views

Deep Learning Fraud Detection With AWS SageMaker and Glue

Utilizing AWS SageMaker and Glue to create a fraud detection system using ETL, deep learning, and XGBoost for scalable, efficient, and accurate results.

March 5, 2025

by Joyanta Banerjee

· 4,890 Views · 1 Like

Feather Wand: Your AI-Powered Companion for JMeter

Feather Wand, a new JMeter plugin, brings to the table a sprinkle of AI magic to transform your performance testing experience.

March 4, 2025

by NaveenKumar Namachivayam

CORE

· 3,814 Views · 2 Likes

Automated Bug Fixing: From Templates to AI Agents

Automated bug fixing has evolved from simple template-based approaches to sophisticated AI systems powered by LLMs, agents, agentless, and RAG paradigms.

March 4, 2025

by Meghana Puvvadi

· 4,033 Views

AI Agents For Automated Claims Processing

AI agents streamline workflows by autonomously processing claims, detecting fraud, ensuring compliance, and enhancing decision-making with real-time insights.

March 4, 2025

by Dr Gopala Krishna Behara

CORE

· 2,723 Views · 1 Like

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