How Embedding Power Large Language Models
Jithin S L
CE Specialist : Data Analytics,Platforms, AI & Machine Learning| Strategic AI & Data Advisor |Public speaker | Research Scholar
Lets talk about embedding a bit another interesting area
In LLMs (Large Language Models), embedding are numerical representations of words, phrases, or sentences that capture their meaning and context. Embeddings are used to represent text in a way that can be processed by machine learning algorithms.
There are two main types of embeddings:
Embeddings are used in a variety of NLP (Natural Language Processing) tasks, including:
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