Suraj Barman 5 Techniques to Detect and Mitigate Hallucinations in Large Language Models Understanding Hallucinations in Large Language Models Hallucinations in large language models refer to instances where the model generates outputs that are factually incorrect or entirely fabricated. ...
Suraj Barman The Role of Vector and Relational Databases in AI Applications The Role of Vector and Relational Databases in AI Applications Modern AI applications rely on two distinct types of databases: vector databases for semantic retrieval and relational databases for stru...
Suraj Barman Designing and Implementing Memory Systems for Agentic AI Applications Defining Memory Systems in Agentic AI Applications Memory systems in agentic AI refer to the mechanisms and architectures that allow artificial intelligence agents to retain, retrieve, and utilize inf...
Suraj Barman Understanding the Impact of Temperature and Seed Values on Agentic Loop Failures Understanding the Impact of Temperature and Seed Values on Agentic Loop Failures Agentic loops are critical in modern AI systems, serving as continuous, autonomous cycles where AI agents strive toward...
Suraj Barman Challenges of Scaling Agentic AI Systems in Production Understanding Challenges in Scaling Agentic AI Systems Agentic AI systems are gaining momentum for their ability to autonomously make decisions and execute workflows. However, transitioning these syst...
Suraj Barman Building Machine Learning Models in Low-Resource Settings Building Machine Learning Models in Low-Resource Settings Machine learning development often happens in environments with limited computational resources, incomplete datasets, and minimal engineering ...
Suraj Barman Extracting Seven Readability Features with Textstat for Machine Learning Definition paragraph that introduces the extraction of seven readability and text complexity features from raw text using the Textstat Python library, highlighting their role as quantitative inputs fo...
Suraj Barman AWS DevOps Agent: AI-Powered Event Response for Amazon EKS AWS DevOps Agent: AI-Powered Event Response for Amazon EKS The AWS DevOps Agent is a fully managed AI-driven tool designed to enhance the operational stability of Amazon EKS environments. It provides ...
Suraj Barman Addressing Hidden Costs in Cloud Architectures Using AWS Frameworks Understanding Hidden Costs in Cloud Architectures Cloud architecture has transformed the way organizations store, process, and manage data at scale. By treating compute resources as utilities, busines...
Suraj Barman AWS Platform Engineering at Santander: Transforming Cloud Infrastructure AWS Platform Engineering at Santander: Transforming Cloud Infrastructure Santander faced a complex challenge in managing a vast infrastructure capable of processing billions of daily transactions acro...
Suraj Barman Analyzing AWS Account-per-Tenant SaaS Architecture for Enhanced Security and Operational Efficiency Definition of AWS Account-per-Tenant SaaS Architecture An AWS account-per-tenant SaaS architecture involves provisioning separate AWS accounts for each tenant in a SaaS platform. This model establishe...
Suraj Barman Improving GitHub Pull Request Performance with React Improving GitHub Pull Request Performance with React GitHub recently introduced a new React-based experience for the Files changed tab in pull requests. This upgrade was designed to address performanc...