PinnedPublished inAI AdvancesPart 1 — Building a Scalable Azure Snapshot Cleanup Tool for Enterprise Cost Optimization…and then automating it and deploying it as an agentic AI system.May 28May 28
PinnedPublished inData Science CollectiveProbabilistic Reasoning in Agentic AI: Handling uncertainty with model context protocol(MCP)…Learn how to build a LangGraph workflow for supply chain risk estimationMay 12A response icon3May 12A response icon3
PinnedPublished inData Science CollectiveUnderstanding LangGraph: Creating Agentic AI Systems for Enterprise ApplicationsAs enterprises move toward autonomous operations, they require systems that do more than just answer questionsApr 9A response icon7Apr 9A response icon7
Published inTowards AIGraph-Based NLP with LangGraph and Large Concept Models(LCMs): Sentiment Analysis and BeyondLearn how to build a LangGraph pipeline using Large Concept Models (LCMs), Graph Neural Networks (GNNs), and a hybrid symbolic-semantic…May 22May 22
Published inTowards AIModel Context Protocol and CrewAI: Scaling Enterprise AI with Standardized ContextIn a world drowning in data yet starved for insight, enterprises need a bridge to unite fragmented systems and empower AI to deliver…Apr 28A response icon1Apr 28A response icon1
Published inAI AdvancesDemocratizing AI: Building AI Solutions for Small Enterprises with LangGraph and FlowiseAIArtificial intelligence is no longer the domain of tech giants; it’s a tool for every dreamer, every creator, and every small business…Apr 23A response icon1Apr 23A response icon1
Published inTowards AIRAG 2.0: Supercharging LLMs with Real-Time Web Data and LangGraphIn a world of constant change, the AI that learns from the present will shape the future.Apr 20Apr 20
Published inTowards AIEfficient Fine-Tuning of LLMs: LoRA and QLoRA in Enterprise AI LangGraph WorkflowsEfficiency in AI isn’t just about speed , it’s about making powerful models work for every businessApr 13Apr 13
Published inData Science CollectiveEvolution of Large Language Models (LLMs): From Trasnformers to Agentic AI — Part 2“We are moving from AI that generates text to AI that thinks, retrieves, and acts.”Mar 21A response icon1Mar 21A response icon1
Published inData Science CollectiveEvolution of Large Language Models (LLMs): From Trasnformers to Agentic AI — Part 1How did we get from simple text generators to AI that retrieves data, reasons step-by-step, and even improves itself?Mar 19A response icon1Mar 19A response icon1
