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Building LLM Products is Hard – These are the 6 Key Challenges
Latest   Machine Learning

Building LLM Products is Hard – These are the 6 Key Challenges

Last Updated on November 6, 2023 by Editorial Team

Author(s): Aashish Nair

Originally published on Towards AI.

Why LLM-powered chatbots haven’t taken the world by storm just yet
Image by Elias from Pixabay

∘ Introduction ∘ Challenge 1: Lack of an “AI Strategy” ∘ Challenge 2: Limited Data ∘ Challenge 3: Privacy/Security Concerns ∘ Challenge 4: The Context Window ∘ Challenge 5: Prompt Engineering ∘ Challenge 6: Prompt Injections ∘ Conclusion ∘ References

In November 2022, the world saw the release of OpenAI’s ChatGPT, a chatbot powered by a powerful large language model (LLM) called GPT-3.5. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific products.

Given the seemingly limitless possibilities that come with harnessing LLMs, the… Read the full blog for free on Medium.

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