What is DSP + Combining Different Prompt Techniques?

Decoding Data Science February 8, 2024
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Decoding Data Science

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What is DSP ( Directional Simulation Prompting) + Combining Different Prompt Techniques? The 4 Prompt Techniques 1. Zero-Shot Learning: Discover how AI can interpret and execute tasks with no prior examples, purely based on its vast pre-existing knowledge. 2. Few-Shot Learning: Learn the art of providing AI with just a handful of examples to master a task. From generating poetry to complex coding problems. 3. Prompt Chaining: Uncover the strategy of using sequential prompts to tackle intricate tasks. We guide you through a creative journey from a story outline to a full narrative, all through the power of chaining prompts. 4. DSP (Directional Stimulus Prompting): Elevate your prompt game with targeted guidance, layered complexity, and response shaping. Whether it's crafting a narrative, analyzing business data, or exploring ethical reasoning, DSP offers a refined approach to directing AI's focus and output. What Are The Top 4 Methods for Prompt Engineering? #PromptEngineering #decodingdatascience #aiarshad - [00:00](https://www.youtube.com/watch?v=z6i3vMLK7Bw&t=0s) Directional stimulus prompting (DSP) is a new technique that helps extract specific information from language models by targeting particular areas of interest in prompts. - [00:54](https://www.youtube.com/watch?v=z6i3vMLK7Bw&t=54s) DSP is beneficial for obtaining precise details from language models, catering to specific inquiries. - [01:20](https://www.youtube.com/watch?v=z6i3vMLK7Bw&t=80s) Combining techniques like retrieval augmented generation (RAG) with DSP can maximize the utility of language models in generating valuable insights. - [01:48](https://www.youtube.com/watch?v=z6i3vMLK7Bw&t=108s) Employing Chain of Thought methodology alongside DSP enables breaking down complex solutions into manageable components, enhancing application effectiveness. - [03:34](https://www.youtube.com/watch?v=z6i3vMLK7Bw&t=214s) Language models excel at inferencing but rely on local knowledge bases for accurate information retrieval, emphasizing the importance of platforms like AWS, Azure, and GCP. - [04:25](https://www.youtube.com/watch?v=z6i3vMLK7Bw&t=265s) When building applications with language models, prioritize understanding the business problem and selecting the most suitable technique to achieve goals effectively. #ai #chatgt #prompting

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