Open challenges in LLM research
Read OriginalThis article analyzes the major open research directions in LLMs, as identified from discussions with industry and academia. It details key challenges like reducing and measuring hallucinations, optimizing context length and construction, and explores other exciting areas such as multimodality, new architectures, and GPU alternatives. It cites relevant research papers and highlights the practical roadblocks for enterprise LLM adoption.
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