Open main menu
Blog HomePlatformGithub

athina.ai

Research and guides for building safe and reliable AI products. Helping thousands of AI engineers build safer products.

Building an Ideal Tech Stack for LLM Applications From Scratch
RAGEvaluationTutorial
•

Building an Ideal Tech Stack for LLM Applications From Scratch

How E-com Giant Meesho Accelerated LLM Development Using Athina AI
Case StudyAthinaEvaluation
•

How E-com Giant Meesho Accelerated LLM Development Using Athina AI

How a $5B Insurance Provider Uses LLMs for Risk Underwriting
AthinaEvaluationPrompt Engineering
•

How a $5B Insurance Provider Uses LLMs for Risk Underwriting

5 Advanced Prompting Techniques to Improve Your LLM App’s Responses
AthinaPrompt Engineering
•

5 Advanced Prompting Techniques to Improve Your LLM App’s Responses

LLM Critics Help Catch LLM Bugs
Research PaperEvaluation
•

LLM Critics Help Catch LLM Bugs

Introducing Athina Prompt Management: A Powerful and Flexible Prompt Playground and CMS
Athina
•

Introducing Athina Prompt Management: A Powerful and Flexible Prompt Playground and CMS

A Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application
AthinaRAG
•

A Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application

Prompt Injection: Different Attacks and Defensive Techniques
SafetyPrompt Engineering
•

Prompt Injection: Different Attacks and Defensive Techniques

Cookbook: How to set up Langchain tracing on Athina in 2 minutes
TutorialAthinaLangchain
•

Cookbook: How to set up Langchain tracing on Athina in 2 minutes

From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings
SafetyResearch Paper
•

From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
SafetyHallucinationsResearch Paper
•

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
SafetyResearch Paper
•

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models

How to evaluate your Llama Index query engine using Ragas evals + Athina AI
EvaluationAthina
•

How to evaluate your Llama Index query engine using Ragas evals + Athina AI

Detect LLM Hallucinations in CI / CD: Evaluate your RAG pipeline using GitHub Actions + Athina / Ragas
SafetyAthinaEvaluation
•

Detect LLM Hallucinations in CI / CD: Evaluate your RAG pipeline using GitHub Actions + Athina / Ragas

10 Rules for LLM Evaluation: What we learned after a year of building
EvaluationAthina
•

10 Rules for LLM Evaluation: What we learned after a year of building

Text Summarization: LLM Failure Cases and Detection Methods
Evaluation
•

Text Summarization: LLM Failure Cases and Detection Methods

Reflexion: Language Agents with Verbal Reinforcement Learning
Research PaperPrompt Engineering
•

Reflexion: Language Agents with Verbal Reinforcement Learning

Building an Ideal Tech Stack for LLM Applications From Scratch
RAGEvaluationTutorial
•

Building an Ideal Tech Stack for LLM Applications From Scratch

How E-com Giant Meesho Accelerated LLM Development Using Athina AI
Case StudyAthinaEvaluation
•

How E-com Giant Meesho Accelerated LLM Development Using Athina AI

How a $5B Insurance Provider Uses LLMs for Risk Underwriting
AthinaEvaluationPrompt Engineering
•

How a $5B Insurance Provider Uses LLMs for Risk Underwriting

5 Advanced Prompting Techniques to Improve Your LLM App’s Responses
AthinaPrompt Engineering
•

5 Advanced Prompting Techniques to Improve Your LLM App’s Responses

LLM Critics Help Catch LLM Bugs
Research PaperEvaluation
•

LLM Critics Help Catch LLM Bugs

Introducing Athina Prompt Management: A Powerful and Flexible Prompt Playground and CMS
Athina
•

Introducing Athina Prompt Management: A Powerful and Flexible Prompt Playground and CMS

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Research PaperPrompt Engineering
•

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
Research PaperPrompt Engineering
•

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models

A Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application
AthinaRAG
•

A Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application