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How I Learned Generative AI in Two Weeks (and You Can Too): Part 3 - Prompts & Models
- The article discusses learning Generative AI through LLMWare Fast Start to RAG examples, focusing on prompts and models.
- Prompts serve as conversation starters for AI systems, guiding the responses based on the input provided.
- Choosing the right model is crucial, and the article lists various generative models available in the Model Catalog.
- The model selection can be based on requirements, such as open-source models or specific purposes like RAG.
- The main example script involves pulling sample questions, loading the model, prompting it, and getting results.
- Adjusting the temperature parameter affects the response generated by the model, with lower values focusing on factual responses.
- Running the model provides LLM responses and Gold Answers for comparison, along with details like processing time.
- Further exploration involves trying different models like LLMWare Bling or Dragon to see how responses vary.
- The article encourages experimentation with prompts and models, awaiting the next example focused on RAG text query.
- Readers are invited to join the LLMWare community on Discord and explore more about RAG / LLMs.
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