Part 5/13:
Elare recognizes the transformative potential of LLMs like GPT-3.5, Llama, and Falcon in summarizing, generating, and understanding scientific content. Tasks including document summarization, question answering, and entity recognition are being explored with these models.
Challenges Specific to Scientific and Medical Domains
Despite their strengths, LLMs face significant hurdles when applied to specialized fields:
Hallucinations: Spontaneous generation of inaccurate facts is unacceptable in scientific contexts.
Resource Intensity: Training or fine-tuning models demands vast data and computational power.
Data Sensitivity: Protecting intellectual property and ensuring compliance complicates dataset aggregation.