Overview: Large language models may dominate headlines, but modern NLP tools remain essential for text processing, ...
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10 data collection techniques for NLP & LLM training
NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...
Abstract: NLP, an AI field, that allows communication between computers and humans. NLP news text classification uses machine learning to categorize news into predefined groups. The vast volume of ...
ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
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Abstract: This research develops a supervised learning framework for improved text summarization in Natural Language Processing (NLP) systems, including the aspects of text relevance, coherence and ...
Text classification project to assign product categories from customer reviews.• Pre‑processed unstructured text data• Compared vectorisation: TF‑IDF, Vectorizer & pre‑trained word embeddings• Trained ...
Natural Language Processing (NLP) researchers study fundamental problems in automating textual and linguistic analysis, generation, representation, and acquisition. While NLP is applied in a huge ...
I am a Senior Researcher at Applied Sciences Group (ASG) working on a variety of AI/ML projects, including customization and distillation of Microsoft Turing and Microsoft Phi LLM/SLM for downstream ...
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