Best of Prompt Engineering — November 2024

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   Article

   Codemotion·1y

   From Junior to Senior Developer with ChatGPT

   ChatGPT and similar AI tools can significantly aid developers by analyzing code, suggesting improvements, writing tests, and more. Their effectiveness depends on clear, specific prompts. While they are not designed to solve new or niche problems independently, they excel in tasks like code contextualization, reviews, and documentation. Tools like GitHub Copilot leverage additional context to provide more relevant suggestions, bridging the gap between junior and senior developer roles.

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2. 2
   Article

   portkey·2y

   Using Prompt Chaining for Complex Tasks

   Master prompt chaining to break down complex AI tasks into manageable steps, enhancing the efficiency and accuracy of language model applications. This method offers clear workflow advantages, allowing each prompt to build on previous ones and making each step more manageable. Key benefits include better error handling, modular updates, and improved context retention. Learn to create effective prompt chains and discover tools like Portkey AI for optimizing prompts and managing workflows.

   162

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3. 3
   Article

   Machine Learning Mastery·1y

   5 Free Courses for Mastering LLMs

   Large Language Models (LLMs) have become a significant breakthrough in AI, excelling in understanding and generating human-like text. This post highlights five free courses to help learners master LLMs. Courses include an introduction by Google, an AI for Educators course by Microsoft, a technical deep dive from Cohere’s LLM University, prompt engineering courses by Anthropic, and a detailed LLM agents course by UC Berkeley and Google DeepMind. These courses cater to a range of learners from beginners to those looking to develop expertise in LLM applications and prompt engineering.

   150

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4. 4
   Article

   Uber Engineering·1y

   Introducing the Prompt Engineering Toolkit

   A well-crafted prompt is vital for obtaining accurate outputs from Large Language Models (LLMs). To streamline this process, Uber developed a Prompt Engineering Toolkit that centralizes prompt template creation, management, and evaluation. The toolkit supports context enrichment, batch generation, version control, and safety measures to ensure responsible AI use. It includes a GenAI Playground for prompt exploration and advanced guidance techniques to enhance prompt quality. The toolkit is designed to facilitate LLM usage across development and production stages, offering a robust framework for effective prompt engineering.

   89
5. 5
   Article

   portkey·1y

   Claude vs. ChatGPT: Comparison of Two Leading AI Models

   ChatGPT and Claude are two leading AI models offering distinct capabilities. ChatGPT excels in structured and precise tasks, responding best to specific prompts and technical instructions. On the other hand, Claude is designed for natural, fluid interactions, making it ideal for creative and ethical tasks. Understanding their prompting styles and strengths can help optimize responses for various applications.

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