Language Resources

Related resources for Language

What’s New in C# 14 (.NET 10): 7 Powerful Language Features Every C# Developer Should Know
Raghunath B
2d
How to Create a Generative Page in Power Apps
Shiv Sharma
2d
Partial Constructors in C# 14 (.NET 10) - A Game-Changing Feature
Jayraj Chhaya
3d
AI Hallucinations Explained: Inside the Museum of AI Hallucinations | AI Agents Conference 2025
Baibhav Kumar
6d
What are AI hallucinations
Mahesh Chand
1w
Different Types of AI Hallucinations
Mahesh Chand
1w
How LLMs Generate Responses
Mahesh Chand
1w
How to Use Markdown Language for Approval Emails in Power Automate?
Henil Patel
2w
Large Language Models: What They Really Change In Work And Software
John Godel
2w
Docker Model Runner Adds vLLM for Fast AI Inference
Sarthak Varshney
3w
Three Years of ChatGPT: How a Simple Interface Redefined Digital Life
Praveen Kumar
3w
Which Programming Language Will Dominate the Next Decade?
Avnii Thakur
3w
Should Interns Focus on One Language Deeply or Learn Multiple Languages?
Vijay Kumari
3w
How Large Language Models (LLMs) Work
Baibhav Kumar
3w
Interface vs Abstract Class in C#: Real-World and Programming Examples Explained in Simple Language
Rajesh Gami
3w
Kotlin: A Pragmatic Language for Modern Software Development
Deepika Sawant
4w
Qwen3-Omni: The AI That Actually Speaks Your Language (Literally!)
Sarthak Varshney
Nov 25
Conversational Design: Mastering Intelligent Interactions for Your Copilot Agent
Kunal Patil
Nov 20
Build a Bash terminal agent with NVIDIA Nemotron in one hour
Rohit Gupta
Nov 17
Qwen3-Next: The AI Model That's Actually Affordable to Run
Sarthak Varshney
Nov 17
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
Power Platform Copilot Prompts: Examples & Language Detection in Action
Gowtham Rajamanickam
Nov 14
Swift: A Modern Programming Language for Safe and Fast Application Development
Deepika Sawant
Nov 13
C# 14: The Next Step in Language Evolution for .NET 10
Mahesh Chand
Nov 12
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
LLMs: We Should Stop Calling Them “Large Language Models”
John Godel
Nov 11
Handling Multi-Language Content in REST APIs | ASP.NET Core
Rajesh Gami
Nov 10
Tokencrush, LangGraph, and the Real Economics of LLM Efficiency
Rohit Gupta
Nov 09
LLMs + SQL: From Natural Language to Safe, Auditable Queries
John Godel
Nov 05
LangRepl: Build and Extend Interactive Language REPLs with Python
Rohit Gupta
Nov 03
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 Curiosity Is the Best Programming Language
Anand Pandey
Oct 29
Mastering the Magic of C#: From Basics to Brilliance
Sandhiya Priya
Oct 28
Building Responsible Intelligence: How to Use Large Language Models Ethically and Carefully
Rinki
Oct 26
How Python’s Namespace Concept Differs from Other Programming Languages
Jayant Kumar
Oct 26
Build a Bash Terminal Agent Using NVIDIA Nemotron Nano v2 in 1 Hour
Rohit Gupta
Oct 26
Why Context Engineering Needs Prompt Engineers to Survive
John Godel
Oct 23
Automating SQL Query Generation Using LlamaIndex and Snowflake
Rohit Gupta
Oct 21
What Is Python and What Are Its Key Features?
Mahesh Chand
Oct 19
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
How Context Length Impacts Large Language Model (LLM) Performance — Explained with GPT-5 and Gemini Examples
Mahesh Chand
Oct 15
n8n AI Workflow Builder Beta – From Prompts to Automated Workflows
Rohit Gupta
Oct 14
LangChain Code: Comprehensive Guide to Building Language-Aware AI Applications
Rohit Gupta
Oct 14
How Do LLMs Use Context to Generate Better Responses
Mahesh Chand
Oct 14
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
Can You Do Context Engineering Without Prompt Engineering?
John Godel
Oct 12
Context Engineering in the Wild: How We Fixed an Airline Refund Assistant
John Godel
Oct 11
Using Language Models to Accelerate Alloy Discovery
Rohit Gupta
Oct 06
Qwen-MT: Where Speed Meets Smart Translation
Sarthak Varshney
Oct 06
Qwen VLo: From Understanding the World to Depicting It
Sarthak Varshney
Oct 06
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
Transformers in AI
Rikam Palkar
Sep 30
How to Evaluate LLMs?
Riya Patel
Sep 30
What is LLMOps and How is it Different from MLOps?
Riya Patel
Sep 30
Introduction to Python: A Beginner-Friendly Programming Language
Siddhant Mohan Jha
Sep 29
Prompt Engineering to Systems Design: Turning Language Into Reliable Software
John Godel
Sep 26
🔗 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
🔍 What Are Embeddings in NLP?
Vijay Kumari
Sep 24
Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro
Lokesh Varman
Sep 24
Which Programming Language is Best for Learning DSA?
Mahesh Chand
Sep 24
Large Language Models (LLMs) on Tabular Data
Riya Patel
Sep 22
SQL: The Language of Databases
Asfaque Ansari
Sep 19
What is the Primary Scripting Language Used in Unity?
Nitin
Sep 19
C#: The Versatile Language for Modern Development
Asfaque Ansari
Sep 18
Python: The Powerhouse of Modern Programming
Asfaque Ansari
Sep 18
IBM Granite-Docling: Next-Gen Document Conversion with DocTags
Rohit Gupta
Sep 18
Extending Existing LLMs with Ollama’s Modelfile: A Practical Guide
Jayant Kumar
Sep 15
How to Evaluate LLMs?
Riya Patel
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
Can AI translate languages in real time during conversations?
Avnii Thakur
Sep 12
Can AI summarize long emails or meeting notes?
Avnii Thakur
Sep 10
Python or R for Data Analysis: Which Should I Learn?
Riya Patel
Sep 09
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 Skills Are Required for a Prompt Engineer Interview?
Mahesh Chand
Sep 07
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

Topics

What’s New in C# 14 (.NET 10): 7 Powerful Language Features Every C# Developer Should Know

How to Create a Generative Page in Power Apps

Partial Constructors in C# 14 (.NET 10) - A Game-Changing Feature

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

What are AI hallucinations

Different Types of AI Hallucinations

How LLMs Generate Responses

How to Use Markdown Language for Approval Emails in Power Automate?

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

Docker Model Runner Adds vLLM for Fast AI Inference

Three Years of ChatGPT: How a Simple Interface Redefined Digital Life

Which Programming Language Will Dominate the Next Decade?

Should Interns Focus on One Language Deeply or Learn Multiple Languages?

How Large Language Models (LLMs) Work

Interface vs Abstract Class in C#: Real-World and Programming Examples Explained in Simple Language

Kotlin: A Pragmatic Language for Modern Software Development

Qwen3-Omni: The AI That Actually Speaks Your Language (Literally!)

Conversational Design: Mastering Intelligent Interactions for Your Copilot Agent

Build a Bash terminal agent with NVIDIA Nemotron in one hour

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

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

Power Platform Copilot Prompts: Examples & Language Detection in Action

Swift: A Modern Programming Language for Safe and Fast Application Development

C# 14: The Next Step in Language Evolution for .NET 10

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

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

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

Handling Multi-Language Content in REST APIs | ASP.NET Core

Tokencrush, LangGraph, and the Real Economics of LLM Efficiency

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

LangRepl: Build and Extend Interactive Language REPLs with Python

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

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

Why Curiosity Is the Best Programming Language

Mastering the Magic of C#: From Basics to Brilliance

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

How Python’s Namespace Concept Differs from Other Programming Languages

Build a Bash Terminal Agent Using NVIDIA Nemotron Nano v2 in 1 Hour

Why Context Engineering Needs Prompt Engineers to Survive

Automating SQL Query Generation Using LlamaIndex and Snowflake

What Is Python and What Are Its Key Features?

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

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

n8n AI Workflow Builder Beta – From Prompts to Automated Workflows

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

How Do LLMs Use Context to Generate Better Responses

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

Can You Do Context Engineering Without Prompt Engineering?

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

Using Language Models to Accelerate Alloy Discovery

Qwen-MT: Where Speed Meets Smart Translation

Qwen VLo: From Understanding the World to Depicting It

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

Transformers in AI

How to Evaluate LLMs?

What is LLMOps and How is it Different from MLOps?

Introduction to Python: A Beginner-Friendly Programming Language

Prompt Engineering to Systems Design: Turning Language Into Reliable Software

🔗 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?

🔍 What Are Embeddings in NLP?

Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro

Which Programming Language is Best for Learning DSA?