AI/ML Resources

Essential Techniques for Production Vector Search Systems Part 1 - Hybrid Search

Proven techniques for production vector search including when to use each one, how to combine them effectively, and trade offs to understand before deployment.

January 8, 2026

by Pavan Vemuri

CORE

· 1,935 Views · 2 Likes

Telemetry-Driven AI Architecture: Closing the Loop from UX to Models

Most Android AI features fail after launch because they don’t learn from real users — this architecture logs predictions and user outcomes.

January 8, 2026

by Mohan Sankaran

· 2,799 Views · 5 Likes

The Hidden Security Risks in ETL/ELT Pipelines for LLM-Enabled Organizations

As LLMs enter data pipelines, ETL/ELT becomes part of the AI security boundary, where untrusted inputs can introduce upstream risks.

January 7, 2026

by Vivek Venkatesan

· 3,342 Views · 2 Likes

Why Small Language Models Are Transforming AI Adoption for Everyone

Small language models (SLMs) enable faster, efficient, and on-device AI, reducing costs while making advanced AI accessible to more users and businesses.

January 7, 2026

by Sanjaykumar Ghinaiya

· 2,211 Views · 1 Like

Solving the Cold Start Problem in Edge AI: A Guide to Data-Saving Learning

Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.

January 6, 2026

by Dippu Kumar Singh

· 3,558 Views

BYOLM with Spring AI & MCP: Secure, Swappable AI Everywhere

Spring AI and MCP empower BYOLM by enabling swappable language models with privacy, control, and extensibility. Learn more about this approach below.

January 6, 2026

by Soham Sengupta

· 1,513 Views

A Practical Guide to Semantic Caching With Redis LangCache

Learn how to use Redis LangCache to semantically cache LLM prompts and responses, reducing inference costs and improving performance.

January 6, 2026

by Subhashini Raman

· 2,791 Views · 2 Likes

Effectively Managing AI Agents for Testing

Agentic AI can transform testing—but only if it’s controlled. Start small, add guardrails, integrate tools, and scale autonomy once reliability and cost are proven.

January 6, 2026

by John Vester

CORE

· 4,384 Views · 1 Like

Unlocking Hidden Value in Dirty Data: A Practical NLP Pattern for Legacy Records

Legacy systems are full of free-text fields where valuable business data goes to die. NLP pipelines turn messy maintenance logs into structured, actionable insights.

January 5, 2026

by Dippu Kumar Singh

· 1,293 Views · 5 Likes

Beyond Fuzzy Matching: Engineering a Multi-Signal ML Pipeline for CRM Deduplication

This article explores using blocking, fuzzy matching, geo proximity, and a Random Forest classifier to streamline records.

January 5, 2026

by Punitha Ponnuraj

· 778 Views · 1 Like

Raw Agent Systems Explained: From Single Agents to Multi-Agent Networks

This study examines raw agent systems, from single-agent frameworks to multi-agent networks, and discusses LangGraph implementations and their significant challenges.

January 5, 2026

by Karthik Jeyapal

· 977 Views · 1 Like

Fine-Tune SLMs for Free: From Google Colab to Ollama in 7 Steps

Want your own custom SLM, but don't have a GPU box humming under your desk? Learn from this article why you actually don’t need one.

January 5, 2026

by Sai Teja Erukude

· 3,234 Views

AutoML vs. LLMs: A Developer’s Guide to Efficient ML Pipeline Generation

While large language models (LLMs) dominate the AI conversation, AutoML remains the king for structured data. Here’s how to choose the right tool for your infrastructure.

January 2, 2026

by Dippu Kumar Singh

· 1,773 Views · 1 Like

Cloud to Local Copilots: A Hybrid Path to Privacy and Control

Cloud copilots deliver premium experience, while local copilots ensure privacy and control. Hybrid approach may be the future.

January 2, 2026

by Bhala Ranganathan

CORE

· 2,924 Views · 1 Like

Is TOON a Boon for AI Communication, LLM Token Cost Economics?

Token costs are bottlenecking AI systems. Learn how TOON, a token-oriented format, cuts LLM costs and boosts efficiency at scale for high-volume pipelines.

January 2, 2026

by Ram Ghadiyaram

CORE

· 1,446 Views · 2 Likes

LLMs in Data Engineering: How Generative AI is Changing ETL and Analytics

LLMs reshape data engineering by automating ETL tasks, enabling natural language analytics, and empowering faster, smarter decision-making without replacing engineers.

January 1, 2026

by harshraj bhoite

· 2,682 Views · 1 Like

Turning Architectural Assumptions into Enforceable Code

This post discusses codifying system constraints as executable code to detect and prevent architectural drift in AI deployments across CI, runtime, and operations.

January 1, 2026

by Anurag Jindal

· 1,470 Views · 1 Like

How Generative AI Can Transform Cloud Support Operations: A Practical Framework

A practical framework for using generative AI to improve speed, quality, and customer experience in cloud support operations.

January 1, 2026

by Mayuri Dekate

· 873 Views

How Unified Data Pipelines Transform Modern AI Infrastructure

AI now uses diverse data types, and old pipelines struggle. Unified data flows centralize data, simplifying management and improving model training and performance.

December 31, 2025

by Samuel Ogbonna

· 1,537 Views · 1 Like

Security and Governance Patterns for Your Conversational AI

Secure your SOC Copilot by implementing PII redaction, read-only access, and RAG enforcement to prevent data leaks and hallucinations.

December 31, 2025

by Rahul Karne

· 10,170 Views · 1 Like

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