#evaluation-metrics

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#machine-learning #hallucinations #uncertainty-calibration #large-language-models #language-models
fromNature
1 week ago
Psychology

Evaluating large language models for accuracy incentivizes hallucinations - Nature

Large language models produce confident falsehoods due to evaluation metrics that reward guessing over uncertainty, necessitating new evaluation methods.
Artificial intelligence
fromMedium
4 months ago

Instance segmentation evaluation criteria | SoftwareMill

Instance segmentation evaluates per-object binary masks using IoU and mAP; detection-based methods yield higher-quality masks while single-shot methods prioritize speed.
Artificial intelligence
fromInfoQ
4 months ago

Google Metrax Brings Predefined Model Evaluation Metrics to JAX

Metrax is an open-source JAX library providing standardized, performant, distributed-ready evaluation metrics for classification, regression, recommendation, vision, NLP, and audio models.
Artificial intelligence
fromInfoQ
6 months ago

Google Introduces LLM-Evalkit to Bring Order and Metrics to Prompt Engineering

LLM-Evalkit centralizes prompt engineering with measurement-driven workflows, Vertex AI integration, and a no-code interface to enable reproducible, collaborative prompt improvement.
Artificial intelligence
fromInfoQ
6 months ago

OpenAI Study Investigates the Causes of LLM Hallucinations and Potential Solutions

LLM hallucinations largely result from pretraining exposure and evaluation metrics that reward guessing; penalizing confident errors and rewarding uncertainty can reduce hallucinations.
Artificial intelligence
fromFuturism
7 months ago

Fixing Hallucinations Would Destroy ChatGPT, Expert Finds

Evaluation incentives push AI to guess confidently instead of expressing uncertainty, improving test performance but increasing harmful hallucinations and undermining safety and user trust.
Artificial intelligence
fromBusiness Insider
7 months ago

Why AI chatbots hallucinate, according to OpenAI researchers

Large language models hallucinate because training and evaluation reward guessing over admitting uncertainty; redesigning evaluation metrics can reduce hallucinations.
fromHackernoon
8 months ago

This AI Turns Lyrics Into Fully Synced Song and Dance Performances | HackerNoon

To evaluate the generation quality of singing vocals, we utilize the Mean Opinion Score (MOS) to gauge the naturalness of the synthesized vocal.
Artificial intelligence
fromFast Company
10 months ago

Why we're measuring AI success all wrong-and what leaders should do about it

"When you hire someone for your team, do you only look at their test scores and the speed they work at? Of course not."
Artificial intelligence
Data science
fromHackernoon
10 months ago

5 Key Metrics to Evaluate Few-Shot Remote Sensing Models | HackerNoon

Few-shot remote sensing requires specialized evaluation metrics to address class imbalance.
fromHackernoon
2 years ago

Experiment Design and Metrics for Mutation Testing with LLMs | HackerNoon

In evaluating LLM-generated mutations, we designed metrics that encompass cost, usability, and behavior, recognizing that higher mutation scores don't guarantee higher quality.
Scala
Artificial intelligence
fromMedium
11 months ago

The problems with running human evals

Running evaluations is essential for building valuable, safe, and user-aligned AI products.
Human evaluations help capture nuances that automated tests often miss.
Artificial intelligence
fromHackernoon
1 year ago

Evaluating TnT-LLM Text Classification: Human Agreement and Scalable LLM Metrics | HackerNoon

Reliability in text classification is crucial and can be assessed using multiple annotators and LLMs to align with human consensus.
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