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Adam Lang

adamNLP
ยท

AI & ML interests

encoder, decoder, encoder-decoder models, LLMs, Graph data science, RAG-LLM apps, Transformers for variety of use cases in NLP: NER, topic modeling, summarization, paraphrase, classification tasks. Embedding fine-tuning and optimization. Classical NLP and ML. I love learning and trying new things!

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