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LLMs in Business: Solutions, Challenges, and optimization Strategy in multifaceted Use Cases
Dec 06, 2023
Practitioners Stage
Practitioner's Stage
- In the AI landscape, Large Language Models (LLMs) have emerged as transformative tools, driving innovations from conversation engines to Q/A pipelines. While their potential is vast, leveraging pre-trained LLMs strategically can offer optimizing efficiency and reducing costs. However, challenges persist, including model hallucination, complexities in standardizing multitype data, and the need for domain-specific fine-tuning.
- This session will unpack these challenges, highlighting solutions and best practices to harness LLMs effectively in diverse business contexts.
- We talk about sample use cases that highlight the multifaceted usage of LLMs in specific problem statements, handling many of the challenges stated above.
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