Everyone wants generative AI applications and their groundbreaking capabilities, such as creating content, summarizing text, answering questions, translating documents, and even reasoning on their own to complete tasks.
But where do you start? How do you add large language models (LLMs) to your infrastructure to start powering these applications? Should you train your own LLM? Customize a pre-trained open-source model? Use existing models through APIs?
Training your own LLM is a daunting and expensive task. The good news is that you don’t have to. Using existing LLMs through APIs allows you to unlock the power of generative AI today, and deliver game-changing AI innovation fast.
How can a generic LLM generate relevant outputs for your company? By adding the right instructions and grounding data to the prompt, you can give an LLM the information it needs to learn “in context,” and generate personalized and relevant results, even if it
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