Customizing LLM Output: Post-Processing Techniques

If you’ve delved into the world of large language models (LLMs) like ChatGPT, Llama, or Mistral, you’ve likely noticed how adjusting input parameters can transform the responses you get. These models are capable of delivering a wide array of outputs, from creative narratives to structured JSON. This versatility makes LLMs incredibly useful for various applications,…

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