Large Language Models (LLMs) have strengths in knowledge-intensive NLP, human language translation, natural language generation, prompt engineering, and more. They also have weaknesses in unstructured input, fine-tuning challenges, resource intensity, and face threats such as inference latency, security and privacy concerns, hallucination, and prompt drift.

3m read timeFrom cobusgreyling.medium.com
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Knowledge-Intensive NLPHuman language translation/ MultilingualNatural Language Generation (NLG)Prompt EngineeringMulti-Disciplinary / ModalDialog & Context ManagementIn-Context LearningKnowledge Synthesis

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