vectara/hallucination_evaluation_model · Hugging Face
huggingface.co
vectara/hallucination_evaluation_model · Hugging Face
Large Language Model Influence on Diagnostic Reasoning
jamanetwork.com
Crossing the uncanny valley of conversational voice
sesame.com
Hallucinations are when generative AI tools give incorrect, misleading, or made-up answers. While there are a number of ways to prevent hallucinations, Szilagyi said the key way his firm does so is by restricting data sources.
“Primarily it’s a closed system where what you’re really doing is relying on a large language model to interpret between you... See more
“Primarily it’s a closed system where what you’re really doing is relying on a large language model to interpret between you... See more
ANY
LLM of your choice, statistical methods, or NLP models that runs
locally on your machine
:
- G-Eval
- Summarization
- Answer Relevancy
- Faithfulness
- Contextual Recall
- Contextual Precision
- RAGAS
- Hallucination
- Toxicity
- Bias
- etc.
GitHub - confident-ai/deepeval: The LLM Evaluation Framework
Repository for the paper "The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning", including 1.84M CoT rationales extracted across 1,060 tasks"
Paper Link : https://arxiv.org/abs/2305.14045
Paper Link : https://arxiv.org/abs/2305.14045