Machine Learning News·2yAnthropic AI Launches a Prompt Engineering Tool that Generates Production-Ready Prompts in the Anthropic Console
Anthropic AI has launched a prompt engineering tool in the Anthropic Console that generates production-ready prompts, helping users maximize their outputs using generative AI and achieve optimal results.
GitHub Blog·2y5 tips to supercharge your developer career in 2024
Learn actionable tips to supercharge your developer career in 2024, including becoming a pro at prompt engineering, learning shortcuts and hacks for GitHub, brushing up on soft skills, using AI to secure code, and attending GitHub Universe 2024.
Medium·2yThe Art of the Prompt: A Look at 26 Prompting Principles
This post explores the principles of prompt engineering and how they can be used to improve the quality and accuracy of AI-generated responses. It discusses different approaches to prompt design and provides examples of how to optimize prompts for specific use cases.
Data Science Central·2yGenAI, RAG, LLM… Oh My!
The post discusses the importance of prompt engineering and its levels of mastery in integrating Generative AI (GenAI) tools with the 'Thinking Like a Data Scientist' (TLADS) methodology. It also emphasizes the role of continuous learning and model updating in ensuring the relevancy and accuracy of LLM models. Furthermore, it highlights the users' responsibilities in actively participating in the learning cycle and introduces Reinforcement Learning through Human Feedback (RLHF) as a technique to improve LLM performance. It concludes by mentioning TLADS Step 8, which focuses on creating a learning-based User Experience (UEX) through integrative feedback systems and user-centric design.
Towards Data Science·2yFrom Prompt Engineering to Agent Engineering
The post introduces the concept of transitioning from prompt engineering to agent engineering, exploring the key ideas and precepts of agent engineering. It outlines the Agent Engineering Framework, which includes sections on Agent Capabilities Requirements and Agent Engineering & Design. The framework focuses on defining the jobs and actions of AI agents, identifying the required capabilities and proficiency levels, and mapping the required proficiencies to technologies and techniques. The post concludes by emphasizing the importance of a strong and flexible foundation for agent design and engineering.
Javarevisited·2yTop 5 AI, ChatGPT, and Prompt Engineering Courses to Take in 2024
Discover the top AI courses for 2024, including certifications in Prompt Engineering, AI, ChatGPT, and more. Learn from industry experts and gain practical skills. Join Future Skills Academy for long-term career benefits.