LLM Resources

Related resources for LLM

Building Responsible Intelligence: How to Use Large Language Models Ethically and Carefully
Rinki
6h
RAG vs. Fine-Tuning in 2025: A Practical Playbook for Teams
John Godel
6h
OpenMemory – Self-Hosted Long-Term AI Memory Engine for LLMs
Rohit Gupta
19h
LLMs: GSCP-12 (Gödel’s Scaffolded Cognitive Prompting) for Rigorous Deductive and Inductive Reasoning in LLMs
John Godel
1d
Operational Prompt Engineering: Turning Prompts into Products
John Godel
3d
AI Agents in Practice: Data Privacy & DSAR Fulfillment Agent (Prompts + Code)
John Godel
4d
Agents 2.0 and Deep Agents: The Future of Autonomous AI Systems
Rohit Gupta
6d
LLMs: GSCP-12, Memory, and Machine Consciousness — An AI Perspective
John Godel
1w
Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook
John Godel
1w
LLM Poisoning: Detection, Defense, and Prevention Strategies
Rohit Gupta
1w
Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)
John Godel
1w
Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)
John Godel
1w
Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)
John Godel
1w
LLM-Free Agent Orchestration — A Microsoft Framework Primer
Shweta Lodha
1w
Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8
John Godel
1w
Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5
John Godel
1w
Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1
John Godel
1w
Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint
John Godel
1w
Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches
John Godel
1w
How Context Length Impacts Large Language Model (LLM) Performance — Explained with GPT-5 and Gemini Examples
Mahesh Chand
1w
Role of Memory in Context Engineering
Mahesh Chand
1w
Building a Legal Assistant That Understands Case Law Relationships Using Graph-Augmented LLMs Using Python
Tuhin Paul
1w
What is LangGraph? Difference Between LangGraph and LangChain?
Kautilya Utkarsh
1w
LangChain Code: Comprehensive Guide to Building Language-Aware AI Applications
Rohit Gupta
1w
ScrapeCraft by ScrapeGraphAI – Graph-Based Framework for AI-Powered Web Scraping
Rohit Gupta
1w
How Do LLMs Use Context to Generate Better Responses
Mahesh Chand
1w
Is Context Engineering the Future of AI Development
Mahesh Chand
1w
Prompt Engineering vs. Context Engineering: A Technical Reality Check
John Godel
1w
Context Engineering vs. Prompt Engineering: A Technical Reality Check
John Godel
1w
Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
1w
Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
1w
Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
1w
Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
1w
Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really
John Godel
1w
Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System
John Godel
1w
What Are the Core Components of LangChain?
Kautilya Utkarsh
1w
Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist
John Godel
2w
Generative AI: From Prototype to Production — A Field Guide
John Godel
2w
What Are the Main Components of Context Engineering?
Mahesh Chand
2w
LLMs: Build an AI Core Banking App with FastAPI and GPT-5 (In-Depth)
John Godel
2w
LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)
John Godel
2w
LLMs: Private Tailored SLMs (John Gödel’s PT-SLMs) — Narrow, Cheap, Sovereign Models with Shockingly Good On-Domain Performance
John Godel
2w
GraphQA: Building Graph-Aware Question Answering Systems with LLMs
Rohit Gupta
2w
LLMs, Tokens, Weights, Vectors, Embeddings — A Practical Article
John Godel
2w
LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps
John Godel
2w
LLMs Feature Flags: Canary, Rollback, and Contract SemVer
John Godel
2w
Understanding Stanford BLAST: A Multi-Agent Simulation Framework for AI Benchmarking
Rohit Gupta
2w
Can You Do Context Engineering Without Prompt Engineering?
John Godel
2w
Difference Between Prompt Engineering and Context Engineering
Mahesh Chand
2w
Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement
John Godel
2w
Context Engineering in the Wild: How We Fixed an Airline Refund Assistant
John Godel
2w
Without Prompt Engineering, There Is No Context Engineering
John Godel
2w
Context Engineering vs Prompt Engineering — The Next Evolution in AI Design
Mahesh Chand
2w
Context Engineering - The Future of Intelligent AI Systems
Mahesh Chand
2w
Context Engineering Tutorial: How to Build Smarter AI Systems That Think in Context
Mahesh Chand
2w
What is Context Engineering? The Next Evolution Beyond Prompt Engineering
Mahesh Chand
2w
Generative AI: Which LLM Integrates Best with GSCP
John Godel
2w
Best AI Coding Assistants in 2025 for Full-Stack Developers
Mahesh Chand
2w
Gemini vs ChatGPT for Developers: Coding, APIs, and Real-World Use Cases
Mahesh Chand
2w
Best GenAI Tools for 2025: ChatGPT, Gemini, Grok, Claude and More Compared
Mahesh Chand
2w
ChatGPT vs Gemini: Which LLM Has Better Reasoning, Accuracy and Real-Time Knowledge?
Mahesh Chand
2w
Best LLM for Coders: ChatGPT vs Gemini vs Claude
Mahesh Chand
2w
ChatGPT vs Gemini vs Claude: A Complete LLM Showdown for Developers and Businesses
Mahesh Chand
2w
ChatGPT vs Gemini: Who Leads the Future of AI Search and Enterprise Productivity?
Mahesh Chand
2w
ChatGPT vs Gemini vs Grok AI: Which Generative AI Wins in 2025?
Mahesh Chand
2w
What is Google Gemini Enterprise Context Window
Mahesh Chand
2w
LLMs: How to Combine NoSQL Data with LLMs Effectively
John Godel
2w
How Do Agents Differ from Chains? When to Use Agents vs Chains?
Kautilya Utkarsh
2w
Difference Between a Prompt and a Prompt Template
Mahesh Chand
2w
How Do I Start a Career in Prompt Engineering?
Mahesh Chand
2w
The Top 10 Large Language Models (LLMs) of 2025: The Age of Cognitive Giants
John Godel
3w
Large Language Models (LLMs): The Top 10 Models of 2025 - The Age of Cognitive Giants
John Godel
3w
Lemonade SDK: The Lightweight, Open-Source Local LLM Server for Developers
Rohit Gupta
3w
Artificial Intelligence: Gödel’s AgentOS - The Governance Operating System for Smart AI Agents
John Godel
3w
Everything About Large Language Models—and How They Differ From GPT
John Godel
3w
How to Combine Tabular Data with LLMs Effectively
Riya Patel
3w
Granite 4.0 vs LLaMA 3 vs Mistral: Enterprise AI Models Compared
Rohit Gupta
3w
Choosing the Right AI LLM for Your Needs
Avinash Guleria
3w
Large Language Models (LLMs) Under the Hood: A Technical Deep Dive
John Godel
3w
Large Language Models (LLMs) With Guardrails: How GSCP Turns Raw Capability Into Reliable Systems
John Godel
3w
Large Language Models (LLMs), Explained: Foundations, Capabilities, Limits, and What Comes Next
John Godel
3w
How to Evaluate LLMs?
Riya Patel
3w
Best Practices for Prompt Engineering in Data Science
Riya Patel
3w
What is LLMOps and How is it Different from MLOps?
Riya Patel
3w
Production Prompt Engineering: A Complete, Copy-Paste Prompt for One Real Use Case
John Godel
3w
Prompt Engineering to Systems Design: Turning Language Into Reliable Software
John Godel
Sep 26
Google Gemini Integration with n8n: Automating AI Workflows
Rohit Gupta
Sep 26
How can AI models be used for summarization?
Vijay Kumari
Sep 26
Case Study: Secure Legal Assistant — An Enterprise AI System That Refuses to Break Confidentiality, Even When Ordered To
Tuhin Paul
Sep 26
Artificial Intelligence: The GitHub Effect on LLMs - Why Noisy Code Corrupts Training—and How to Build Reliable Autonomous Coders
John Godel
Sep 25
🛡️ Understanding Prompt Injection in AI: Risks and Prevention
Avnii Thakur
Sep 25
📝 Prompt Injection: What It Is and How to Prevent It
Vijay Kumari
Sep 25
🌡️ Understanding Temperature in Large Language Models (LLMs)
Vijay Kumari
Sep 25
What are few-shot, zero-shot, and one-shot learning in LLMs?
Avnii Thakur
Sep 25
Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro
Lokesh Varman
Sep 24
Artificial Intelligence: John Gödel’s Private Tailored LLM (PT-SLM): An In-Depth Guide for Enterprises
John Godel
Sep 24
Qwen3-Omni: Alibaba Cloud’s Next-Generation Omni-Modal AI Model
Rohit Gupta
Sep 23
Large Language Models (LLMs) on Tabular Data
Riya Patel
Sep 22
Evaluating GenAI Systems: From Demos to Measurable Business Outcomes
John Godel
Sep 19
Prompt Engineering: Build a Summarizer Assistant: From Raw Notes to Crisp Bullets and Next-Step Plans
John Godel
Sep 18

Topics

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

GraphQA: Building Graph-Aware Question Answering Systems with LLMs

LLMs, Tokens, Weights, Vectors, Embeddings — A Practical Article

LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps

LLMs Feature Flags: Canary, Rollback, and Contract SemVer

Understanding Stanford BLAST: A Multi-Agent Simulation Framework for AI Benchmarking

Can You Do Context Engineering Without Prompt Engineering?

Difference Between Prompt Engineering and Context Engineering

Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement

Context Engineering in the Wild: How We Fixed an Airline Refund Assistant

Without Prompt Engineering, There Is No Context Engineering

Context Engineering vs Prompt Engineering — The Next Evolution in AI Design

Context Engineering - The Future of Intelligent AI Systems

Context Engineering Tutorial: How to Build Smarter AI Systems That Think in Context

What is Context Engineering? The Next Evolution Beyond Prompt Engineering

Generative AI: Which LLM Integrates Best with GSCP

Best AI Coding Assistants in 2025 for Full-Stack Developers

Gemini vs ChatGPT for Developers: Coding, APIs, and Real-World Use Cases

Best GenAI Tools for 2025: ChatGPT, Gemini, Grok, Claude and More Compared

ChatGPT vs Gemini: Which LLM Has Better Reasoning, Accuracy and Real-Time Knowledge?

Best LLM for Coders: ChatGPT vs Gemini vs Claude

ChatGPT vs Gemini vs Claude: A Complete LLM Showdown for Developers and Businesses

ChatGPT vs Gemini: Who Leads the Future of AI Search and Enterprise Productivity?

ChatGPT vs Gemini vs Grok AI: Which Generative AI Wins in 2025?

What is Google Gemini Enterprise Context Window

LLMs: How to Combine NoSQL Data with LLMs Effectively

How Do Agents Differ from Chains? When to Use Agents vs Chains?

Difference Between a Prompt and a Prompt Template

How Do I Start a Career in Prompt Engineering?

The Top 10 Large Language Models (LLMs) of 2025: The Age of Cognitive Giants

Large Language Models (LLMs): The Top 10 Models of 2025 - The Age of Cognitive Giants

Lemonade SDK: The Lightweight, Open-Source Local LLM Server for Developers

Artificial Intelligence: Gödel’s AgentOS - The Governance Operating System for Smart AI Agents

Everything About Large Language Models—and How They Differ From GPT

How to Combine Tabular Data with LLMs Effectively

Granite 4.0 vs LLaMA 3 vs Mistral: Enterprise AI Models Compared

Choosing the Right AI LLM for Your Needs

Large Language Models (LLMs) Under the Hood: A Technical Deep Dive