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Applications of AI and AI infrastructure

January 18, 2023
An in-depth explanation of semantic models in Natural Language Processing

During this presentation I am explaining what are Semantic Models and how they can understand the meaning of human language. Starting from static embeddings (Google model Word2Vec), I am explaining the foundations of semantic similarity, ending up with transformers and dynamic embeddings. The second part of the presentation is dedicated to business use cases and practical applications.

Here, are the most important slides of the presentation:

State of NLP up until 2023
Static Embedding
Word2Vec embedding, how semantics is mapped into space
Embedding Architecture
How embeddings are generated from context
Transformers architecture
List of popular NLP applications