Language Models Resources

Related resources for Language Models

What is Zero-Shot vs Few-Shot Prompting in AI Models
Nidhi Sharma
1w
How to Evaluate LLM Performance Using Benchmarks and Metrics
Riya Patel
2w
Difference Between Zero-Shot, One-Shot, and Few-Shot Prompting?
Riya Patel
3w
How ChatGPT Works & RAG Explained | LLMs & Retrieval-Augmented Generation
Nidhi Sharma
4w
How to Reduce LLM Hallucination Using Retrieval-Augmented Generation (RAG)?
Riya Patel
Mar 26
How to Use Ollama to Run Large Language Models Locally on Your System
Aarav Patel
Mar 24
How to Use LangChain with OpenAI for Custom AI Applications?
Aarav Patel
Mar 23
Setup AI Gateway for LLMs
Varun Setia
Mar 21
What Is AI Agent Memory and How to Implement It in LLM-Based Applications
Aarav Patel
Mar 17
What Techniques Help Manage Context and Memory in Long-Running AI Conversations?
Aarav Patel
Mar 13
How Do Multimodal AI Models Combine Vision and Language for Reasoning Tasks?
Aarav Patel
Mar 10
What Tools Are Available for Integrating Vision-Language Models into Applications?
Riya Patel
Mar 10
The Evolution of Language Models From RNN to GPT
Tuhin Paul
Mar 10
Why Are AI Benchmarks Important for Evaluating Large Language Models?
Nidhi Sharma
Mar 10
What Is Prompt Chaining and How Can Developers Use It in AI Workflows?
Aarav Patel
Mar 09
How to Reduce Hallucinations in AI Applications Using Prompt Engineering
Aarav Patel
Mar 05
What Is Prompt Engineering and Why Is It Important?
Niharika Gupta
Feb 17
What Are Large Language Models (LLMs) and How Do They Work?
Niharika Gupta
Feb 16
What Is OpenAI Frontier?
Praveen Kumar
Feb 11
What Is Decomposed Prompting
Mahesh Chand
Jan 28
Learn Everything Thing About Chain of Thought Prompting
Mahesh Chand
Jan 23
What Is Role Based Prompting
Mahesh Chand
Jan 21
What Is Zero-Shot Prompting
Mahesh Chand
Jan 21
Context Window in Large Language Models (LLMs)
Jayant Kumar
Jan 19
Artificial Intelligence: How GSCP-15 Turns Generic Models into Governed, Enterprise-Grade Delivery
John Godel
Jan 19
From LLMs to PT-SLMs: How GSCP-15 Turns Generic Models into Governed, Enterprise-Grade Delivery
John Godel
Jan 19
The LLM Era Gets Serious: What Changes Next and Why It Matters
John Godel
Jan 10
Large Language Models in 2026: GPT-5 vs Claude vs Llama and the Future of AI Models
Praveen Kumar
Jan 07
AI Hallucinations Explained: Inside the Museum of AI Hallucinations | AI Agents Conference 2025
Baibhav Kumar
Dec 19
How LLMs Generate Responses
Mahesh Chand
Dec 15
Large Language Models: What They Really Change In Work And Software
John Godel
Dec 05
Docker Model Runner Adds vLLM for Fast AI Inference
Sarthak Varshney
Dec 01
How Large Language Models (LLMs) Work
Baibhav Kumar
Nov 30
The Mathematics Behind Artificial Intelligence and Large Language Models
John Godel
Nov 16
The Mathematics Behind Artificial Intelligence and Large Language Models
John Godel
Nov 16
The Mathematics Behind Artificial Intelligence and Large Language Models
John Godel
Nov 16
Artificial Intelligence: We Should Stop Calling Them “Large Language Models”
John Godel
Nov 11
Gen AI: We Should Stop Calling Them “Large Language Models”
John Godel
Nov 11
Tokencrush, LangGraph, and the Real Economics of LLM Efficiency
Rohit Gupta
Nov 09
From Prompt Engineering to Proof: How Prompt and Context Engineering Work as One
John Godel
Oct 31
Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response
John Godel
Oct 30
Why Context Engineering Needs Prompt Engineers to Survive
John Godel
Oct 23
Automating SQL Query Generation Using LlamaIndex and Snowflake
Rohit Gupta
Oct 21
Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)
John Godel
Oct 17
Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)
John Godel
Oct 17
Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1
John Godel
Oct 16
Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
Oct 14
LLMs: Private Tailored SLMs (John Gödel’s PT-SLMs) — Narrow, Cheap, Sovereign Models with Shockingly Good On-Domain Performance
John Godel
Oct 12
Understanding Stanford BLAST: A Multi-Agent Simulation Framework for AI Benchmarking
Rohit Gupta
Oct 12
Context Engineering in the Wild: How We Fixed an Airline Refund Assistant
John Godel
Oct 11
The Top 10 Large Language Models (LLMs) of 2025: The Age of Cognitive Giants
John Godel
Oct 06
Large Language Models (LLMs): The Top 10 Models of 2025 - The Age of Cognitive Giants
John Godel
Oct 05
Large Language Models: How to Become Smart Agents:
John Godel
Oct 04
Everything About Large Language Models—and How They Differ From GPT
John Godel
Oct 03
Large Language Models (LLMs) Under the Hood: A Technical Deep Dive
John Godel
Oct 01
Large Language Models (LLMs) With Guardrails: How GSCP Turns Raw Capability Into Reliable Systems
John Godel
Oct 01
Large Language Models (LLMs), Explained: Foundations, Capabilities, Limits, and What Comes Next
John Godel
Oct 01
How to Evaluate LLMs?
Riya Patel
Sep 30
What is LLMOps and How is it Different from MLOps?
Riya Patel
Sep 30
🔗 What is Prompt Chaining in AI?
Avnii Thakur
Sep 25
Artificial Intelligence: The GitHub Effect on LLMs - Why Noisy Code Corrupts Training—and How to Build Reliable Autonomous Coders
John Godel
Sep 25
What is chain-of-thought prompting?
Avnii Thakur
Sep 25
🌡️ Understanding Temperature in Large Language Models (LLMs)
Vijay Kumari
Sep 25
Prompt Engineering: Planning, Designing, and Implementing Prompts: Why It Matters in Real-Life Use Cases
John Godel
Sep 25
Why is prompt design important in AI applications?
Vijay Kumari
Sep 25
Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro
Lokesh Varman
Sep 24
Extending Existing LLMs with Ollama’s Modelfile: A Practical Guide
Jayant Kumar
Sep 15
What is LLMOps, and how is it different from MLOps?
Riya Patel
Sep 12
What is Retrieval-Augmented Generation (RAG)?
Riya Patel
Sep 12
Why Explicit Tokenization is Required in Hugging Face but Not in Ollama
Jayant Kumar
Sep 12
Artificial Intelligence: Why Enterprise Large Corporates Hire Prompt Engineers — And What They Actually Deliver
John Godel
Sep 09
Effective Prompt Engineering: Best Results at the Best Cost
John Godel
Sep 08
What’s the Future of Prompt Engineering with GPT-5 and Beyond?
Mahesh Chand
Sep 07
Generative AI Interview Questions and Answers (2025 Edition)
John Godel
Sep 05
LLMs: Why Modern LLMs Like GPT Are Decoder-Only
John Godel
Sep 02
Artificial Intelligence: Why Modern LLMs Like GPT Are Decoder-Only
John Godel
Sep 02
Mastering Prompt Engineering: Turning Ideas into Results
John Godel
Sep 02
How Do Large Language Models Work? A Deep Dive into LLM AI
Baibhav Kumar
Aug 19
Why ReACT Prompting Is Obsolete — Use the GSCP Framework Instead
John Godel
Aug 19
From Syntax to Semantics: Fine-Tuning NLP Models for Precision and Power
Deepika Sawant
Aug 18
Generative AI : Transforming Industries, Benefits, and Challenges
Bharat Chaudhary
Aug 14
Setup Ollama with Open WebUI With Docker in Local Windows
Ankit Mori
Aug 12
Docker Model Runner: A Game Changer in Local AI Development (C# Developer Perspective)
Naga Santhosh Reddy Vootukuri
Aug 12
Building Enterprise-Grade GenAI: From Prompt Experiments to Cognitive-Scale LLM Systems
John Godel
Aug 12
Private Small Language Models (PSLM): The Future of Secure, Purpose-Built AI
Gautam Singh
Aug 11
Implementing Rag [Retrieval Augmented Generation] AI
Sagar Rane
Aug 11
What are Large Language Models (LLMs) Used for?
Vijay Kumari
Aug 08
Why Prompt Engineering Is Critical for LLMs Like ChatGPT and Claude
Mahesh Chand
Aug 07
Cascading Private Tailored Small Language Models (PT-SLM) Using GSCP Framework: A Cost-Efficient Architecture for Accura
John Godel
Aug 04
The Art and Science of Prompt Engineering: Techniques for Maximizing LLM Performance
Dipen Shah
Jul 31
What is Generative AI?
Mahesh Chand
Jul 28
Resolving Hallucination in Large Language Models with GSCP (Gödel’s Scaffolded Cognitive Prompting)
John Godel
Jul 14
Top 5 LLMs for Enterprises
Mahesh Chand
Jun 13
DistilBERT, ALBERT, and Beyond: Comparing Top Small Language Models
Praveen Kumar
Jun 04
Understanding the Difference Between NLP and LLM
Praveen Kumar
May 29
What are Good Use Cases for Integrating LLMs into Our Own Products?
Mahesh Chand
May 24
Clone Your Voice Using Open-Source LLM
Shweta Lodha
1y
Difference Between Large Language Model & Small Language Model
Swesh S
1y
Introduction to Semantic Kernel SDK and Azure OpenAI
Kuljot Bakshi
1y
What are Personal Language Models?
Mahesh Chand
1y

Topics

What is Zero-Shot vs Few-Shot Prompting in AI Models

How to Evaluate LLM Performance Using Benchmarks and Metrics

Difference Between Zero-Shot, One-Shot, and Few-Shot Prompting?

How ChatGPT Works & RAG Explained | LLMs & Retrieval-Augmented Generation

How to Reduce LLM Hallucination Using Retrieval-Augmented Generation (RAG)?

How to Use Ollama to Run Large Language Models Locally on Your System

How to Use LangChain with OpenAI for Custom AI Applications?

Setup AI Gateway for LLMs

What Is AI Agent Memory and How to Implement It in LLM-Based Applications

What Techniques Help Manage Context and Memory in Long-Running AI Conversations?

How Do Multimodal AI Models Combine Vision and Language for Reasoning Tasks?

What Tools Are Available for Integrating Vision-Language Models into Applications?

The Evolution of Language Models From RNN to GPT

Why Are AI Benchmarks Important for Evaluating Large Language Models?

What Is Prompt Chaining and How Can Developers Use It in AI Workflows?

How to Reduce Hallucinations in AI Applications Using Prompt Engineering

What Is Prompt Engineering and Why Is It Important?

What Are Large Language Models (LLMs) and How Do They Work?

What Is OpenAI Frontier?

What Is Decomposed Prompting

Learn Everything Thing About Chain of Thought Prompting

What Is Role Based Prompting

What Is Zero-Shot Prompting

Context Window in Large Language Models (LLMs)

Artificial Intelligence: How GSCP-15 Turns Generic Models into Governed, Enterprise-Grade Delivery

From LLMs to PT-SLMs: How GSCP-15 Turns Generic Models into Governed, Enterprise-Grade Delivery

The LLM Era Gets Serious: What Changes Next and Why It Matters

Large Language Models in 2026: GPT-5 vs Claude vs Llama and the Future of AI Models

AI Hallucinations Explained: Inside the Museum of AI Hallucinations | AI Agents Conference 2025

How LLMs Generate Responses

Large Language Models: What They Really Change In Work And Software

Docker Model Runner Adds vLLM for Fast AI Inference

How Large Language Models (LLMs) Work

The Mathematics Behind Artificial Intelligence and Large Language Models

The Mathematics Behind Artificial Intelligence and Large Language Models

The Mathematics Behind Artificial Intelligence and Large Language Models

Artificial Intelligence: We Should Stop Calling Them “Large Language Models”

Gen AI: We Should Stop Calling Them “Large Language Models”

Tokencrush, LangGraph, and the Real Economics of LLM Efficiency

From Prompt Engineering to Proof: How Prompt and Context Engineering Work as One

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

Why Context Engineering Needs Prompt Engineers to Survive

Automating SQL Query Generation Using LlamaIndex and Snowflake

Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)

Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)

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

Why Prompt Engineering Is a Prerequisite for Context Engineering

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

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

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

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

Large Language Models: How to Become Smart Agents:

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

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

Large Language Models (LLMs) With Guardrails: How GSCP Turns Raw Capability Into Reliable Systems

Large Language Models (LLMs), Explained: Foundations, Capabilities, Limits, and What Comes Next

How to Evaluate LLMs?

What is LLMOps and How is it Different from MLOps?

🔗 What is Prompt Chaining in AI?

Artificial Intelligence: The GitHub Effect on LLMs - Why Noisy Code Corrupts Training—and How to Build Reliable Autonomous Coders

What is chain-of-thought prompting?

🌡️ Understanding Temperature in Large Language Models (LLMs)

Prompt Engineering: Planning, Designing, and Implementing Prompts: Why It Matters in Real-Life Use Cases

Why is prompt design important in AI applications?

Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro

Extending Existing LLMs with Ollama’s Modelfile: A Practical Guide

What is LLMOps, and how is it different from MLOps?

What is Retrieval-Augmented Generation (RAG)?

Why Explicit Tokenization is Required in Hugging Face but Not in Ollama

Artificial Intelligence: Why Enterprise Large Corporates Hire Prompt Engineers — And What They Actually Deliver

Effective Prompt Engineering: Best Results at the Best Cost

What’s the Future of Prompt Engineering with GPT-5 and Beyond?

Generative AI Interview Questions and Answers (2025 Edition)

LLMs: Why Modern LLMs Like GPT Are Decoder-Only

Artificial Intelligence: Why Modern LLMs Like GPT Are Decoder-Only

Mastering Prompt Engineering: Turning Ideas into Results

How Do Large Language Models Work? A Deep Dive into LLM AI

Why ReACT Prompting Is Obsolete — Use the GSCP Framework Instead