Evaluation culture: what it is and why it is important
In the post-COVID educational environment, assessment offers ways to gain crucial insights into student thinking and learning and areas that ...
Tag: evaluation
Evaluation of generative AI techniques for clinical report summarization
In part 1 of this blog series, we discussed how a large language model (LLM) available on amazon SageMaker JumpStart ...
THRONE: Advances in the evaluation of hallucinations in vision and language models
Understanding and mitigating hallucinations in vision and language models (VLVM) is an emerging field of research that addresses the generation ...
SynthEval: A Novel Open Source Machine Learning Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data
Computer vision, machine learning, and data analytics in many fields have seen an increase in the use of synthetic data ...
Reinforcement Learning, Part 2: Policy Evaluation and Improvement | by Vyacheslav Efimov | Apr, 2024
From data to decisions: maximizing rewards with policy improvement methods for optimal strategiesReinforcement learning is a domain in machine learning ...
Separation of instructions and data in LLM: a study on how to protect AI from manipulation with the SEP (should it be executed or processed?) Introduction and evaluation of the data set
Large Language Models (LLMs) are fundamental to modern ai applications and provide the computational intellect needed to understand and generate ...
Constructing a Paired Knowledge Graph: Text Datasets Informed by Cyclic Evaluation
Datasets that combine knowledge graphs (KG) and text (KG-T) can be used to train forward and inverse neural models that ...
Evaluation of new teachers: best practices
New teachers have varied experiences as they navigate their first years of full-time teaching. Some may have completed traditional teacher ...
CASE once again supports the Classworks® special education platform
The Council of Administrators of Special Education (CASE) has re-endorsed Classworks® for three additional years. The CASE Executive Committee designated ...
This AI article proposes LongAlign: an instruction, training, and evaluation data recipe for long context alignment
The study differs from previous approaches by focusing on aligning long context, specifically adjusting language models to interpret long user ...
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