Eval Resources

Related resources for Eval

Agentic RAG Explained in Simple Words
Prathap Reddy
1d
Evaluate JPA Lazy vs Eager Loading Performance in Java
Aarav Patel
2d
Retrieval-Augmented AI Agents for Entity Matching at Scale | AI Agents Conference 2025
Baibhav Kumar
5d
Evaluate Python Data Validation Libraries for Safety
Aarav Patel
6d
Evaluating the impact of React concurrency features on UI performance
Niharika Gupta
1w
Efficient Bulk Data Retrieval in EF Core Using Extensions
Deepika Sawant
1w
Evaluating Generative AI Models and Agents in Azure AI Foundry
Prathap Reddy
1w
Evaluating the Impact of React Concurrency Features on UI Performance
Niharika Gupta
1w
What LangSmith Fetch Is and How It Automates Dataset Retrieval for Evaluations
Rohit Gupta
1w
What LangChain Polly Is and How It Automates AI Agent Engineering
Rohit Gupta
1w
Trigger Conditional in Power Automate: How & When to Use Them
Ketan Sathavara
2w
MCP vs RAG: The Ultimate Battle for AI Dominance
Nitin Pandit
3w
Understanding Agent Frameworks, Runtimes, and Harnesses in Modern AI Systems
Rohit Gupta
3w
What is Retrieval-Augmented Generation (RAG)?
Baibhav Kumar
4w
🚀 Building a Local Document RAG System Using Node.js, Supabase, and OpenAI
Nitin Pandit
4w
How AI Agents Use Filesystems for Context Engineering
Rohit Gupta
Nov 24
20 Essential Terms to Understand When Building RAG (Retrieval-Augmented Generation) Applications
Nitin Pandit
Nov 21
How LLM Memory Works: Architecture, Techniques, and Developer Patterns
Rohit Gupta
Nov 14
Advanced Techniques for Semantic Search Using Embeddings in Python
Rohit Gupta
Nov 11
Advanced RAG in Python with FastAPI – Multi-Source Retrieval and Evaluation
Rohit Gupta
Nov 07
Displaying Backend Data in Frontend with Data Binding in ASP.NET
Sandhiya Priya
Nov 07
How SQL Server Enables Retrieval-Augmented Generation (RAG) Workflows: Embeddings, Vector Indexing & More
Rajesh Gami
Nov 05
MaxKB Open-Source Platform | Enterprise AI Agents & RAG Pipeline
Rohit Gupta
Nov 04
Automating Bank Statement Analysis with LLMs & RAG Techniques
Rohit Gupta
Nov 04
LangRepl: Build and Extend Interactive Language REPLs with Python
Rohit Gupta
Nov 03
Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)
John Godel
Oct 30
RAG vs. Fine-Tuning in 2025: A Practical Playbook for Teams
John Godel
Oct 26
Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7
John Godel
Oct 16
Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims
John Godel
Oct 16
Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4
John Godel
Oct 16
Generative AI, Part 5 — Evaluation & QA: Golden Sets, Constraint Pass-Rate, Self-Consistency, and Live Canaries
John Godel
Oct 16
Generative AI, Part 4 — Modular RAG for Creators: Blend Templates with Evidence (Without Breaking Flow)
John Godel
Oct 16
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
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
Is Context Engineering the Future of AI Development
Mahesh Chand
Oct 14
What Are the Main Components of Context Engineering?
Mahesh Chand
Oct 12
GraphQA: Building Graph-Aware Question Answering Systems with LLMs
Rohit Gupta
Oct 12
Understanding Stanford BLAST: A Multi-Agent Simulation Framework for AI Benchmarking
Rohit Gupta
Oct 12
Difference Between Prompt Engineering and Context Engineering
Mahesh Chand
Oct 12
Context Engineering’s Next 5 Years
John Godel
Oct 11
Context Engineering with GSCP-12: From Retrieval to Governed Reasoning
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
How to Find the Weighted Average of an Array of Numbers in Python
Tuhin Paul
Oct 03
Effective Context Engineering for AI Agents: Best Practices and Frameworks
Rohit Gupta
Oct 01
How to Evaluate LLMs?
Riya Patel
Sep 30
Bots.fyi Review: Discover, Compare, and Evaluate AI Bots (2025 Guide)
Rohit Gupta
Sep 28
Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro
Lokesh Varman
Sep 24
📈 ROC Curve vs AUC Score: Key Concepts in Machine Learning
Vijay Kumari
Sep 23
Evaluating GenAI Systems: From Demos to Measurable Business Outcomes
John Godel
Sep 19
How to Evaluate LLMs?
Riya Patel
Sep 15
What is Retrieval-Augmented Generation (RAG)?
Riya Patel
Sep 12
Retrieval Augmented Generation (RAG): Why Do We Need Embeddings Again?
Jayant Kumar
Sep 10
What’s the Future of Generative Engine Optimization (GEO)?
Mahesh Chand
Sep 09
Prompt Engineering: RAG on a Budget: Cost-Efficient Retrieval and Context Packing
John Godel
Sep 08
How Do You Evaluate Prompt Effectiveness?
Mahesh Chand
Sep 08
How Do You Benchmark Prompt Performance Across Models?
Mahesh Chand
Sep 08
How Do Companies Test Prompt Engineering Skills?
Mahesh Chand
Sep 07
Fine-Tuning vs External Knowledge: What Works Best for Enterprise AI?
Jayant Kumar
Sep 05
AI Without the Hype: What to Know, What to Ignore, What to Do
John Godel
Aug 21
Implementing Rag [Retrieval Augmented Generation] AI
Sagar Rane
Aug 11
What Are Generators vs Regular Functions in Python?
Baibhav Kumar
Aug 08
Prompt-Oriented Development vs. Vibe Coding: Choosing the Right Approach Across the AI Product Lifecycle
John Godel
Aug 07
Measuring Unsupervised Model Performance: Metrics & Best Practices
Mahesh Chand
Aug 04
💡 GSCP: Prompt Engineering + Context Engineering — And More!
John Godel
Jul 31
Toward a Post-Predictive Paradigm in Language Modeling: Integrating GSCP with Neuro-Symbolic and Retrieval-Augmented Architectures
John Godel
Jul 28
Godel's Scaffolded Cognitive Prompting (GSCP): A Unified Framework for Reliable AI Reasoning
John Godel
Jul 14
Build a Chatbot with Retrieval-Augmented Generation (RAG)
Priyanshu Agnihotri
Jun 05
How to Check If an AI is Making Things Up
Priyanshu Agnihotri
May 15
Real-Time Data Retrieval from APIs Using SSIS
Aradhana Tripathi
May 14
Precision & Recall - Evaluation metrics To fine true positive Prediction
Saurabh Prajapati
May 06
Keyset Pagination in Entity Framework Core for Efficient Data Retrieval
Jignesh Kumar
Mar 10
Automate SharePoint List Retrieval with AWS Lambda and PnP PowerShell
Vijai Anand Ramalingam
Feb 26
Automate Knowledge Retrieval from SharePoint Using Amazon Bedrock Prompt Flow
Vijai Anand Ramalingam
Feb 21
Dynamic Rules Engine for User Workflows in .NET Financial Apps
Tuhin Paul
Jan 17
LookUp Function in Power Apps for Efficient Data Retrieval
Shiv Sharma
Dec 31
Unlocking the Power of the SELECT Feature in SQL Server
Poonam Beniwal
1y
Enhance SQL Server Stored Procedure Performance – Tuning Tips
Jignesh Kumar
1y
Searching Items in Sitecore without Solr Indexes
Daniel Gomez
1y
Understanding Infix, Postfix, and Prefix Expressions/Notations in DSA
Baibhav Kumar
1y
Power Platform for Admins Connector in PowerApps
Jihen Hnena
1y
Overview Of Azure Redis Cache
Sathiyamoorthy S
1y
How To Send Mail Using SQL Server: Part 2
Manish Kumar Choudhary
1y
Application State vs Session State in Java
Aman Gupta
1y
How To Execute SQL In SharePoint 2013 And Office 365 Using Nintex WorkFlows
Manpreet Singh
1y
Getting Dynamic Input Value and Post to the AJAX function
Velladurai
1y
Learn MongoDB Evaluation Operators
Rohini Parade
1y
Geographical Information by IP Address in ASP.NET and C#
Rahul Kumar Saxena
1y
Getting an External IP Address Locally using VB.Net
Scott Lysle
1y
Optimizing Searching Algorithms in C# and Reducing Complexities
Hanif Hefaz
1y
File Structure: Writing and Reading Records Efficiently
Shikha Tiwari
1y
Inner Join vs Cross Apply and Left Outer Join vs Outer Apply
Uday Dodiya
1y
Implementing Pagination for Large Datasets in Java Web Applications
Aman Gupta
1y
Console Application To Fetch SharePoint List Data Using REST API With CAML Query In C# Managed Code
Rutika Banode
1y
Understanding of Iterators in Python
Lokendra Singh
1y
Creating Custom Authorization Policy Provider In ASP.NET Core
Jignesh Trivedi
1y
Explaning Encoder-Decoder Models
Himanshu Singh
1y

Topics

Agentic RAG Explained in Simple Words

Evaluate JPA Lazy vs Eager Loading Performance in Java

Retrieval-Augmented AI Agents for Entity Matching at Scale | AI Agents Conference 2025

Evaluate Python Data Validation Libraries for Safety

Evaluating the impact of React concurrency features on UI performance

Efficient Bulk Data Retrieval in EF Core Using Extensions

Evaluating Generative AI Models and Agents in Azure AI Foundry

Evaluating the Impact of React Concurrency Features on UI Performance

What LangSmith Fetch Is and How It Automates Dataset Retrieval for Evaluations

What LangChain Polly Is and How It Automates AI Agent Engineering

Trigger Conditional in Power Automate: How & When to Use Them

MCP vs RAG: The Ultimate Battle for AI Dominance

Understanding Agent Frameworks, Runtimes, and Harnesses in Modern AI Systems

What is Retrieval-Augmented Generation (RAG)?

🚀 Building a Local Document RAG System Using Node.js, Supabase, and OpenAI

How AI Agents Use Filesystems for Context Engineering

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

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

Advanced Techniques for Semantic Search Using Embeddings in Python

Advanced RAG in Python with FastAPI – Multi-Source Retrieval and Evaluation

Displaying Backend Data in Frontend with Data Binding in ASP.NET

How SQL Server Enables Retrieval-Augmented Generation (RAG) Workflows: Embeddings, Vector Indexing & More

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

Automating Bank Statement Analysis with LLMs & RAG Techniques

LangRepl: Build and Extend Interactive Language REPLs with Python

Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)

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

Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7

Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims

Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4

Generative AI, Part 5 — Evaluation & QA: Golden Sets, Constraint Pass-Rate, Self-Consistency, and Live Canaries

Generative AI, Part 4 — Modular RAG for Creators: Blend Templates with Evidence (Without Breaking Flow)

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

Role of Memory in Context Engineering

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

How Do LLMs Use Context to Generate Better Responses

Is Context Engineering the Future of AI Development

What Are the Main Components of Context Engineering?

GraphQA: Building Graph-Aware Question Answering Systems with LLMs

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

Difference Between Prompt Engineering and Context Engineering

Context Engineering’s Next 5 Years

Context Engineering with GSCP-12: From Retrieval to Governed Reasoning

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

How to Find the Weighted Average of an Array of Numbers in Python

Effective Context Engineering for AI Agents: Best Practices and Frameworks

How to Evaluate LLMs?

Bots.fyi Review: Discover, Compare, and Evaluate AI Bots (2025 Guide)

Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro

📈 ROC Curve vs AUC Score: Key Concepts in Machine Learning

Evaluating GenAI Systems: From Demos to Measurable Business Outcomes

How to Evaluate LLMs?

What is Retrieval-Augmented Generation (RAG)?

Retrieval Augmented Generation (RAG): Why Do We Need Embeddings Again?

What’s the Future of Generative Engine Optimization (GEO)?

Prompt Engineering: RAG on a Budget: Cost-Efficient Retrieval and Context Packing

How Do You Evaluate Prompt Effectiveness?

How Do You Benchmark Prompt Performance Across Models?

How Do Companies Test Prompt Engineering Skills?

Fine-Tuning vs External Knowledge: What Works Best for Enterprise AI?

AI Without the Hype: What to Know, What to Ignore, What to Do

Implementing Rag [Retrieval Augmented Generation] AI

What Are Generators vs Regular Functions in Python?

Prompt-Oriented Development vs. Vibe Coding: Choosing the Right Approach Across the AI Product Lifecycle

Measuring Unsupervised Model Performance: Metrics & Best Practices

💡 GSCP: Prompt Engineering + Context Engineering — And More!

Toward a Post-Predictive Paradigm in Language Modeling: Integrating GSCP with Neuro-Symbolic and Retrieval-Augmented Architectures

Godel's Scaffolded Cognitive Prompting (GSCP): A Unified Framework for Reliable AI Reasoning

Build a Chatbot with Retrieval-Augmented Generation (RAG)

How to Check If an AI is Making Things Up

Real-Time Data Retrieval from APIs Using SSIS

Precision & Recall - Evaluation metrics To fine true positive Prediction

Keyset Pagination in Entity Framework Core for Efficient Data Retrieval

Automate SharePoint List Retrieval with AWS Lambda and PnP PowerShell

Automate Knowledge Retrieval from SharePoint Using Amazon Bedrock Prompt Flow

Dynamic Rules Engine for User Workflows in .NET Financial Apps

LookUp Function in Power Apps for Efficient Data Retrieval