LLM Resources

Related resources for LLM

What is Retrieval-Augmented Generation (RAG)?
Baibhav Kumar
17h
Telecom Tower Assistant: Multi-Modal LLM's for Field Service Repairs
Tuhin Paul
20h
Transforming AI with .NET and C#
Abhishek Yadav
1d
20 Essential Terms to Understand When Building RAG (Retrieval-Augmented Generation) Applications
Nitin Pandit
4d
Artificial Intelligence: Understanding PII, PHI, PCI and Why They Matter in the Age of AI, GenAI, LLMs and PT-SLMs
John Godel
1w
GenAI: Understanding PII, PHI, PCI and Why They Matter in the Age of AI, GenAI, LLMs and PT-SLMs
John Godel
1w
Understanding PII, PHI, PCI and Why They Matter in the Age of AI, GenAI, LLMs and PT-SLMs
John Godel
1w
TOON vs JSON: Can Token-Oriented Object Notation Replace JSON?
Nitin Pandit
1w
AI-Powered File Summarizer: Deep-Dive Architecture, Algorithms, Workflows, and Enterprise Integration
Rohit Gupta
1w
Build a Bash terminal agent with NVIDIA Nemotron in one hour
Rohit Gupta
1w
TOON for LLMs: A Cleaner and More Efficient JSON Alternative
Sarthak Varshney
1w
Microsoft Agent Framework - Declarative Tools Explained
Shweta Lodha
1w
Qwen3-Next: The AI Model That's Actually Affordable to Run
Sarthak Varshney
1w
How LLM Memory Works: Architecture, Techniques, and Developer Patterns
Rohit Gupta
1w
LLMs: We Should Stop Calling Them “Large Language Models”
John Godel
2w
LLMs: Gödel’s Autonomous Self-Supervised Learning for LLMs - An Introduction
John Godel
2w
Agentic World Wide Web Is Knocking at the Door
John Godel
2w
Agentic AI: Beyond the Hype Curve - A Realistic 2030 Outlook for AI-Led Software Development—and the Future of the Web
John Godel
2w
Build and Run Local AI Models Using Ollama and LangChain
Rohit Gupta
2w
Building AI-Enhanced Applications: Integrating LangChain and Semantic Kernel with ASP.NET Core
Rajesh Gami
2w
Tokencrush, LangGraph, and the Real Economics of LLM Efficiency
Rohit Gupta
2w
Top 50 Prompt Engineering Techniques for Python Developers
Rohit Gupta
2w
FastAPI + LLMs: Building a Scalable AI Backend
Rohit Gupta
2w
Using LangChain Tools in Python for AI Workflow Automation
Rohit Gupta
2w
Connect Python to GPT-5 API: Step-by-Step Developer Guide
Rohit Gupta
2w
AI for Python Developers: OpenAI API Setup and Best Practices in 15 Minutes
Rohit Gupta
2w
Is JSON Dead? Meet TOON – The Token-Efficient Alternative for LLM Prompts
Deepak Tewatia
2w
LLMs + SQL: From Natural Language to Safe, Auditable Queries
John Godel
2w
LLMs That Fix Things: Field Service Assistants from Triage to Wrench Time
John Godel
2w
AI LLM Reaches 1M TPS: The Next Leap in Inference Speed
Mahesh Chand
3w
MaxKB Open-Source Platform | Enterprise AI Agents & RAG Pipeline
Rohit Gupta
3w
Automating Bank Statement Analysis with LLMs & RAG Techniques
Rohit Gupta
3w
OpenAgent: The Ultimate Framework for Modular AI Agent Orchestration
Rohit Gupta
3w
Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response
John Godel
3w
MiniMax M2 on Ollama Cloud – Benchmark Leader for Coding and Agentic Workflows
Rohit Gupta
3w
Generative AI: Data Quality Is Destiny - Unifying Data Governance and AI Governance for Trustworthy AI
John Godel
4w
Build a Custom LangChain Chat Model from Scratch
Rohit Gupta
4w
Building Responsible Intelligence: How to Use Large Language Models Ethically and Carefully
Rinki
Oct 26
RAG vs. Fine-Tuning in 2025: A Practical Playbook for Teams
John Godel
Oct 26
OpenMemory – Self-Hosted Long-Term AI Memory Engine for LLMs
Rohit Gupta
Oct 26
LLMs: GSCP-12 (Gödel’s Scaffolded Cognitive Prompting) for Rigorous Deductive and Inductive Reasoning in LLMs
John Godel
Oct 25
Operational Prompt Engineering: Turning Prompts into Products
John Godel
Oct 23
AI Agents in Practice: Data Privacy & DSAR Fulfillment Agent (Prompts + Code)
John Godel
Oct 22
Agents 2.0 and Deep Agents: The Future of Autonomous AI Systems
Rohit Gupta
Oct 20
LLMs: GSCP-12, Memory, and Machine Consciousness — An AI Perspective
John Godel
Oct 19
Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook
John Godel
Oct 19
LLM Poisoning: Detection, Defense, and Prevention Strategies
Rohit Gupta
Oct 18
Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)
John Godel
Oct 17
Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)
John Godel
Oct 17
Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)
John Godel
Oct 17
LLM-Free Agent Orchestration — A Microsoft Framework Primer
Shweta Lodha
Oct 17
Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8
John Godel
Oct 16
Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5
John Godel
Oct 16
Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1
John Godel
Oct 16
Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint
John Godel
Oct 16
Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches
John Godel
Oct 15
How Context Length Impacts Large Language Model (LLM) Performance — Explained with GPT-5 and Gemini Examples
Mahesh Chand
Oct 15
Role of Memory in Context Engineering
Mahesh Chand
Oct 15
Building a Legal Assistant That Understands Case Law Relationships Using Graph-Augmented LLMs Using Python
Tuhin Paul
Oct 15
What is LangGraph? Difference Between LangGraph and LangChain?
Kautilya Utkarsh
Oct 15
LangChain Code: Comprehensive Guide to Building Language-Aware AI Applications
Rohit Gupta
Oct 14
ScrapeCraft by ScrapeGraphAI – Graph-Based Framework for AI-Powered Web Scraping
Rohit Gupta
Oct 14
How Do LLMs Use Context to Generate Better Responses
Mahesh Chand
Oct 14
Is Context Engineering the Future of AI Development
Mahesh Chand
Oct 14
Prompt Engineering vs. Context Engineering: A Technical Reality Check
John Godel
Oct 14
Context Engineering vs. Prompt Engineering: A Technical Reality Check
John Godel
Oct 14
Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
Oct 14
Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
Oct 14
Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
Oct 14
Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
Oct 14
Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really
John Godel
Oct 14
Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System
John Godel
Oct 14
What Are the Core Components of LangChain?
Kautilya Utkarsh
Oct 13
Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist
John Godel
Oct 13
Generative AI: From Prototype to Production — A Field Guide
John Godel
Oct 13
What Are the Main Components of Context Engineering?
Mahesh Chand
Oct 12
LLMs: Build an AI Core Banking App with FastAPI and GPT-5 (In-Depth)
John Godel
Oct 12
LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)
John Godel
Oct 12
LLMs: Private Tailored SLMs (John Gödel’s PT-SLMs) — Narrow, Cheap, Sovereign Models with Shockingly Good On-Domain Performance
John Godel
Oct 12
GraphQA: Building Graph-Aware Question Answering Systems with LLMs
Rohit Gupta
Oct 12
LLMs, Tokens, Weights, Vectors, Embeddings — A Practical Article
John Godel
Oct 12
LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps
John Godel
Oct 12
LLMs Feature Flags: Canary, Rollback, and Contract SemVer
John Godel
Oct 12
Understanding Stanford BLAST: A Multi-Agent Simulation Framework for AI Benchmarking
Rohit Gupta
Oct 12
Can You Do Context Engineering Without Prompt Engineering?
John Godel
Oct 12
Difference Between Prompt Engineering and Context Engineering
Mahesh Chand
Oct 12
Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement
John Godel
Oct 11
Context Engineering in the Wild: How We Fixed an Airline Refund Assistant
John Godel
Oct 11
Without Prompt Engineering, There Is No Context Engineering
John Godel
Oct 11
Context Engineering vs Prompt Engineering — The Next Evolution in AI Design
Mahesh Chand
Oct 11
Context Engineering - The Future of Intelligent AI Systems
Mahesh Chand
Oct 11
Context Engineering Tutorial: How to Build Smarter AI Systems That Think in Context
Mahesh Chand
Oct 11
What is Context Engineering? The Next Evolution Beyond Prompt Engineering
Mahesh Chand
Oct 11
Generative AI: Which LLM Integrates Best with GSCP
John Godel
Oct 11
Best AI Coding Assistants in 2025 for Full-Stack Developers
Mahesh Chand
Oct 10
Gemini vs ChatGPT for Developers: Coding, APIs, and Real-World Use Cases
Mahesh Chand
Oct 10
Best GenAI Tools for 2025: ChatGPT, Gemini, Grok, Claude and More Compared
Mahesh Chand
Oct 10
ChatGPT vs Gemini: Which LLM Has Better Reasoning, Accuracy and Real-Time Knowledge?
Mahesh Chand
Oct 10
Best LLM for Coders: ChatGPT vs Gemini vs Claude
Mahesh Chand
Oct 10
ChatGPT vs Gemini vs Claude: A Complete LLM Showdown for Developers and Businesses
Mahesh Chand
Oct 10

Topics

What is Retrieval-Augmented Generation (RAG)?

Telecom Tower Assistant: Multi-Modal LLM's for Field Service Repairs

Transforming AI with .NET and C#

20 Essential Terms to Understand When Building RAG (Retrieval-Augmented Generation) Applications

Artificial Intelligence: Understanding PII, PHI, PCI and Why They Matter in the Age of AI, GenAI, LLMs and PT-SLMs

GenAI: Understanding PII, PHI, PCI and Why They Matter in the Age of AI, GenAI, LLMs and PT-SLMs

Understanding PII, PHI, PCI and Why They Matter in the Age of AI, GenAI, LLMs and PT-SLMs

TOON vs JSON: Can Token-Oriented Object Notation Replace JSON?

AI-Powered File Summarizer: Deep-Dive Architecture, Algorithms, Workflows, and Enterprise Integration

Build a Bash terminal agent with NVIDIA Nemotron in one hour

TOON for LLMs: A Cleaner and More Efficient JSON Alternative

Microsoft Agent Framework - Declarative Tools Explained

Qwen3-Next: The AI Model That's Actually Affordable to Run

How LLM Memory Works: Architecture, Techniques, and Developer Patterns

LLMs: We Should Stop Calling Them “Large Language Models”

LLMs: Gödel’s Autonomous Self-Supervised Learning for LLMs - An Introduction

Agentic World Wide Web Is Knocking at the Door

Agentic AI: Beyond the Hype Curve - A Realistic 2030 Outlook for AI-Led Software Development—and the Future of the Web

Build and Run Local AI Models Using Ollama and LangChain

Building AI-Enhanced Applications: Integrating LangChain and Semantic Kernel with ASP.NET Core

Tokencrush, LangGraph, and the Real Economics of LLM Efficiency

Top 50 Prompt Engineering Techniques for Python Developers

FastAPI + LLMs: Building a Scalable AI Backend

Using LangChain Tools in Python for AI Workflow Automation

Connect Python to GPT-5 API: Step-by-Step Developer Guide

AI for Python Developers: OpenAI API Setup and Best Practices in 15 Minutes

Is JSON Dead? Meet TOON – The Token-Efficient Alternative for LLM Prompts

LLMs + SQL: From Natural Language to Safe, Auditable Queries

LLMs That Fix Things: Field Service Assistants from Triage to Wrench Time

AI LLM Reaches 1M TPS: The Next Leap in Inference Speed

MaxKB Open-Source Platform | Enterprise AI Agents & RAG Pipeline

Automating Bank Statement Analysis with LLMs & RAG Techniques

OpenAgent: The Ultimate Framework for Modular AI Agent Orchestration

Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response

MiniMax M2 on Ollama Cloud – Benchmark Leader for Coding and Agentic Workflows

Generative AI: Data Quality Is Destiny - Unifying Data Governance and AI Governance for Trustworthy AI

Build a Custom LangChain Chat Model from Scratch

Building Responsible Intelligence: How to Use Large Language Models Ethically and Carefully

RAG vs. Fine-Tuning in 2025: A Practical Playbook for Teams

OpenMemory – Self-Hosted Long-Term AI Memory Engine for LLMs

LLMs: GSCP-12 (Gödel’s Scaffolded Cognitive Prompting) for Rigorous Deductive and Inductive Reasoning in LLMs

Operational Prompt Engineering: Turning Prompts into Products

AI Agents in Practice: Data Privacy & DSAR Fulfillment Agent (Prompts + Code)

Agents 2.0 and Deep Agents: The Future of Autonomous AI Systems

LLMs: GSCP-12, Memory, and Machine Consciousness — An AI Perspective

Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook

LLM Poisoning: Detection, Defense, and Prevention Strategies

Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)

Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)

Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)

LLM-Free Agent Orchestration — A Microsoft Framework Primer

Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8

Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5

Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1

Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint

Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches

How Context Length Impacts Large Language Model (LLM) Performance — Explained with GPT-5 and Gemini Examples

Role of Memory in Context Engineering

Building a Legal Assistant That Understands Case Law Relationships Using Graph-Augmented LLMs Using Python

What is LangGraph? Difference Between LangGraph and LangChain?

LangChain Code: Comprehensive Guide to Building Language-Aware AI Applications

ScrapeCraft by ScrapeGraphAI – Graph-Based Framework for AI-Powered Web Scraping

How Do LLMs Use Context to Generate Better Responses

Is Context Engineering the Future of AI Development

Prompt Engineering vs. Context Engineering: A Technical Reality Check

Context Engineering vs. Prompt Engineering: A Technical Reality Check

Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering

Why Prompt Engineering Is a Prerequisite for Context Engineering

Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset

Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset

Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really

Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System

What Are the Core Components of LangChain?

Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist

Generative AI: From Prototype to Production — A Field Guide

What Are the Main Components of Context Engineering?

LLMs: Build an AI Core Banking App with FastAPI and GPT-5 (In-Depth)

LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)

LLMs: Private Tailored SLMs (John Gödel’s PT-SLMs) — Narrow, Cheap, Sovereign Models with Shockingly Good On-Domain Performance