Root Signals Blog

Why do LLMs still hallucinate in 2025?

June 17, 2025

Why do LLMs still hallucinate in 2025?

A compressed overview on the current state of hallucinations, intended to provide some research direction and starting considerations for building hallucination resilience into LLM-powered applications.

Root Signals Introduces Root Judge

February 19, 2025

Root Signals Introduces Root Judge: The State-of-the-Art Judge Model for Measuring the Reliability of LLM Applications

Root Judge, a groundbreaking LLM that sets a new standard for reliable, customizable and locally-deployable evaluation models.

LLM as a Judge vs. Human Evaluation

October 17, 2024

LLM as a Judge vs. Human Evaluation

The traditional reliance on human experts for quality assurance is being challenged by a compelling alternative: Large Language Models (LLMs) as judges.

Root Signals raises $2.8M

September 4, 2024

Root Signals raises $2.8M to accelerate GenAI business adoption by having AI watch AI

Despite global hype for GenAI, most businesses have so far failed to take their GenAI prototypes from experimentation to production.

EvalOps 101

August 6, 2024

EvalOps 101 – Building the Bridge from LLM Prototypes to Production

This post examines the hypothesis that a new term is useful to capture the peculiarities related to handling workflows based on LLM-as-a-judge evaluation techniques.

RAG Evaluation Fundamentals

July 16, 2025

RAG Evaluation Fundamentals: A Complete Guide to Measuring RAG Performance

Master the fundamentals of RAG evaluation with this comprehensive guide covering key metrics, methodologies, and best practices for assessing retrieval-augmented generation systems.

Why do LLMs still hallucinate in 2025?

June 17, 2025

Why do LLMs still hallucinate in 2025?

A compressed overview on the current state of hallucinations, intended to provide some research direction and starting considerations for building hallucination resilience into LLM-powered applications.

LLM as a Judge vs. Human Evaluation

October 17, 2024

LLM as a Judge vs. Human Evaluation

The traditional reliance on human experts for quality assurance is being challenged by a compelling alternative: Large Language Models (LLMs) as judges.

EvalOps 101

August 6, 2024

EvalOps 101 – Building the Bridge from LLM Prototypes to Production

This post examines the hypothesis that a new term is useful to capture the peculiarities related to handling workflows based on LLM-as-a-judge evaluation techniques.

RAG Evaluation Fundamentals

July 16, 2025

RAG Evaluation Fundamentals: A Complete Guide to Measuring RAG Performance

Master the fundamentals of RAG evaluation with this comprehensive guide covering key metrics, methodologies, and best practices for assessing retrieval-augmented generation systems.

Root Signals raises $2.8M

September 4, 2024

Root Signals raises $2.8M to accelerate GenAI business adoption by having AI watch AI

Despite global hype for GenAI, most businesses have so far failed to take their GenAI prototypes from experimentation to production.

Root Signals Introduces Root Judge

February 19, 2025

Root Signals Introduces Root Judge: The State-of-the-Art Judge Model for Measuring the Reliability of LLM Applications

Root Judge, a groundbreaking LLM that sets a new standard for reliable, customizable and locally-deployable evaluation models.

Root Signals Introduces Root Judge

February 19, 2025

Root Signals Introduces Root Judge: The State-of-the-Art Judge Model for Measuring the Reliability of LLM Applications

Root Judge, a groundbreaking LLM that sets a new standard for reliable, customizable and locally-deployable evaluation models.

LLM as a Judge vs. Human Evaluation

October 17, 2024

LLM as a Judge vs. Human Evaluation

The traditional reliance on human experts for quality assurance is being challenged by a compelling alternative: Large Language Models (LLMs) as judges.

EvalOps 101

August 6, 2024

EvalOps 101 – Building the Bridge from LLM Prototypes to Production

This post examines the hypothesis that a new term is useful to capture the peculiarities related to handling workflows based on LLM-as-a-judge evaluation techniques.