Authors in the eMag discuss techniques like prompt engineering to maximize the utility of large language models (LLMs) for better results.
Best practices are shared on self-hosted LLM deployment, overcoming challenges like model size, GPU scarcity, and adapting to a rapidly evolving field.
The open-source Llama 3 LLM's advanced functionality and deployment strategies are highlighted for real-world business applications.
A virtual panel of authors provides insights on adopting large language models, including choosing between API-based vs. self-hosted, fine-tuning strategies, risk mitigation, and necessary non-technical organizational changes.
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