The New Frontiers of LLMs: Challenges, Solutions, and Tools

Large language models have been around for several years, but it wasn’t until 2023 that their presence became truly ubiquitous both within and outside machine learning communities. Previously opaque concepts like fine-tuning and RAG have gone mainstream, and companies big and small have been either building or integrating LLM-powered tools into their workflows.

As we look ahead at what 2024 might bring, it seems all but certain that these models’ footprint is poised to grow further, and that alongside exciting …

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