Computational Semantics Large Language Models Machine Learning 
Marktechpost
JUNE 22, 2024
Semantic entropy is a method to detect confabulations in LLMs by measuring their uncertainty over the meaning of generated outputs. This technique leverages predictive entropy and clusters generated sequences by semantic equivalence using bidirectional entailment.
AWS Machine Learning Blog
JANUARY 24, 2024
Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Rerank can improve the relevance of search results from lexical or semantic search.
Marktechpost
SEPTEMBER 15, 2024
Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family.
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