• Vibetest.io is a platform focused on teaching prompt engineering. It offers hands-on coding challenges to help users learn how to communicate effectively with AI models such as Claude and GPT-4. The platform aims to enable users to transform code through improved prompting techniques. It emphasizes practical application and direct experience to master the art of prompt engineering.

    https://vibetest.io/

    #vibetestio #promptengineering #ai #gpt4 #claude #prompting #ailearning #promptdesign #codingchallenges #aiplayground #learnai #promptcrafting #promptdeveloper #aieducation #durableknowledge
    Vibetest.io is a platform focused on teaching prompt engineering. It offers hands-on coding challenges to help users learn how to communicate effectively with AI models such as Claude and GPT-4. The platform aims to enable users to transform code through improved prompting techniques. It emphasizes practical application and direct experience to master the art of prompt engineering. https://vibetest.io/ #vibetestio #promptengineering #ai #gpt4 #claude #prompting #ailearning #promptdesign #codingchallenges #aiplayground #learnai #promptcrafting #promptdeveloper #aieducation #durableknowledge
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  • So whats the next big fad .... "Context Engineering".
    So WHAT IS CONTEXT ENGINEERING?

    饾煭. It’s Feature Engineering—but for AI Agents.
    (*Check what's feature engineering down below)
    饾煯. The art of filling the context window with exactly what’s needed.
    饾煰. You’re managing “working memory” like an operating system manages RAM.
    饾煱. Agents need engineered context: instructions, tools, memories, examples, feedback.
    饾煴. Poor context = forgotten steps, broken tools, bad decisions.
    饾煵. Long-running agents hit context limits fast—engineering is essential.
    饾煶. Vibe coding doesn’t scale—context engineering does.

    In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs.

    Check the following links for context:
    - Langchain Explanation on what it is:
    https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T
    - First post l saw talking about this was by Andrej Karpathy (@karpathy):
    https://x.com/karpathy/status/1937902205765607626
    - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !:
    https://x.com/MaryamMiradi/status/1940810454013518178

    #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling
    So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 饾煭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 饾煯. The art of filling the context window with exactly what’s needed. 饾煰. You’re managing “working memory” like an operating system manages RAM. 饾煱. Agents need engineered context: instructions, tools, memories, examples, feedback. 饾煴. Poor context = forgotten steps, broken tools, bad decisions. 饾煵. Long-running agents hit context limits fast—engineering is essential. 饾煶. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling
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  • Exciting News! Dive into the world of AI with this fantastic interactive tutorial on prompt engineering by Anthropic! Whether you're a curious beginner or a seasoned tech enthusiast, this course is designed to spark your creativity and enhance your understanding of AI-driven solutions. Don't miss out on the opportunity to learn from the best and elevate your skills! Check it out here: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

    Welcome to Anthropic's educational courses. This repository currently contains five courses. We suggest completing the courses in the following order:

    Anthropic API fundamentals - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc.
    Prompt engineering interactive tutorial - a comprehensive step-by-step guide to key prompting techniques. [AWS Workshop version]
    Real world prompting - learn how to incorporate prompting techniques into complex, real world prompts. [Google Vertex version]
    Prompt evaluations - learn how to write production prompt evaluations to measure the quality of your prompts.
    Tool use - teaches everything you need to know to implement tool use successfully in your workflows with Claude.

    #AI #MachineLearning #ArtificialIntelligence #TechTrends #Innovation #FutureTech #AICommunity #LearnAI #TechEducation #DigitalSkills #AIRevolution #TechLovers #CodingLife #InteractiveLearning #AnthropicAI #PromptEngineering #ExploreAI #TechSavvy #AIInsights #SkillUp
    馃殌 Exciting News! 馃殌 Dive into the world of AI with this fantastic interactive tutorial on prompt engineering by Anthropic! Whether you're a curious beginner or a seasoned tech enthusiast, this course is designed to spark your creativity and enhance your understanding of AI-driven solutions. Don't miss out on the opportunity to learn from the best and elevate your skills! Check it out here: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P Welcome to Anthropic's educational courses. This repository currently contains five courses. We suggest completing the courses in the following order: Anthropic API fundamentals - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc. Prompt engineering interactive tutorial - a comprehensive step-by-step guide to key prompting techniques. [AWS Workshop version] Real world prompting - learn how to incorporate prompting techniques into complex, real world prompts. [Google Vertex version] Prompt evaluations - learn how to write production prompt evaluations to measure the quality of your prompts. Tool use - teaches everything you need to know to implement tool use successfully in your workflows with Claude. #AI #MachineLearning #ArtificialIntelligence #TechTrends #Innovation #FutureTech #AICommunity #LearnAI #TechEducation #DigitalSkills #AIRevolution #TechLovers #CodingLife #InteractiveLearning #AnthropicAI #PromptEngineering #ExploreAI #TechSavvy #AIInsights #SkillUp
    courses/prompt_engineering_interactive_tutorial/Anthropic 1P at master · anthropics/courses
    github.com
    Anthropic's educational courses. Contribute to anthropics/courses development by creating an account on GitHub.
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