If you are a software developer striving to keep up with the latest buzz about large language models, you may feel overwhelmed or confused, as I did. It seems like every day we see the release of a new open source model or the announcement of a significant new feature by a commercial model provider.
LLMs are quickly becoming an integral part of the modern software stack. However, whether you want to consume a model API offered by a provider like OpenAI or embed an open source model into your app, building LLM-powered applications entails more than just sending a prompt and waiting for a response. There are numerous elements to consider, ranging from tweaking the parameters to augmenting the prompt to moderating the response.
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