JJebitokinsharonjebitok.com·May 8 · 10 min readSecuring AI Systems (TryHackMe)Introduction TryTrainMe's engineering team has built TryAssist, an AI-powered code review assistant that analyses pull requests, queries internal documentation, and connects to the CI/CD pipeline. Bef00
VUVishal Uttam Maneinvishal-uttam-mane-privacy.hashnode.dev·May 6 · 4 min readPrivacy vs Personalization in AI Systems: Engineering the Trade-offModern AI systems are increasingly designed to deliver highly personalized experiences, from recommendation engines to adaptive interfaces and intelligent assistants. Personalization improves user eng00
Sssnmaheshincorelogic.hashnode.dev·May 4 · 9 min readContext Engineering: The Hidden Foundation Behind Reliable AI SystemsAn AI model doesn't have memory between conversations. Every time it responds, it can only see what's currently inside its context window — a kind of short-term working memory. Whatever is in that win00
BUBABY UMA BHARATHI Rinumabharathi.hashnode.dev·Apr 30 · 3 min readFrom Static LLMs to Practical AI Systems: A Guide to RAG and MCPWhy LLMs Alone Are Not Enough (And How RAG + MCP Fix It) Most Large Language Models (LLMs) fail in real-world applications not because they are weak—but because they don’t know your data. They are tra00
VUVishal Uttam Maneinvishal-uttam-mane-dataset.hashnode.dev·Apr 30 · 5 min readHandling Imbalanced DatasetsIn real-world machine learning applications, perfectly balanced datasets are more the exception than the rule. Whether in fraud detection, medical diagnosis, anomaly detection, or cybersecurity, the n00
NFnishu facileininfrastructure-cloud.hashnode.dev·Apr 29 · 4 min readAutonomous AI: Redefining the Future of Intelligent AutomationThe next wave of digital transformation isn’t just automation—it’s autonomy. While traditional tools follow rules, autonomous AI systems can learn, decide, and act with minimal human input. For busine00
VUVishal Uttam Maneinvishal-uttam-mane-scale-ai-sys.hashnode.dev·Apr 18 · 4 min readBuilding Scalable AI Systems in Cloud EnvironmentsBuilding scalable AI systems in cloud environments requires a combination of distributed computing, efficient data pipelines, and robust model lifecycle management. As organizations move from experime00
VUVishal Uttam Maneinvishal-uttam-mane-super-unsuper-learning.hashnode.dev·Apr 14 · 4 min readSupervised vs Unsupervised Learning in Real ApplicationsMachine learning systems are broadly categorized into supervised and unsupervised learning paradigms, each addressing fundamentally different problem spaces. While the theoretical distinction is strai00
Aaiagentmemoryinaiagentmemory.hashnode.dev·Apr 7 · 6 min readAdvanced Memory Architectures for Long-Term AI AgentsWhat are memory architectures in long term AI agents beyond simple state representation? Memory architectures in long-term AI agents are intricate frameworks for AI systems to store, retrieve, and process information over extended durations. They mov...00
YMYoshi Maninyoshi-m.hashnode.dev·Apr 4 · 6 min readWhat I learnt designing memory for an analytics agentTL;DR I spent March exploring how memory works in multi-agent systems. I used my friend's dim sum restaurant sales data as my testbed — a small family-run place with a few branches, a couple years of 00
