The guide highlights the growing need for prompting skills, introduces advanced model tuning, and recommends creating projects or using shared knowledge for real-world skill development.
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AI Coding Assistants: Helpful for Syntax, Limited Beyond That
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Yes, there's an internal tool like that. I use Copilot too though. It's certainly helpful as a syntax shortcut, but if I'm working with a language I know well, I find the benefits to be very limited. The difficult part of programming is developing the mental model, not typing out
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AI Project Methodology: Key Steps for Consultants
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Great article and insights for #AIConsultants unpacking the steps for #AI projects Understand the Problem Data Collection & Prep Model Building Testing & Validation Deployment Monitoring & Maintenance
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Library Design: Building Extensible Abstractions Through Iterative Refactoring
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A nice approach to library design is to first write the bones of a new abstraction standalone, and then flesh it out while refactoring existing code using it. One good sign an abstraction will be easy to extend later is if it’s easy to add existing functionality you’ve forgotten.
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Open-Source TypeScript RAG Chatbot Builder Solution
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Open-Source RAG Chatbot Builder One of the most popular use cases for GPTs is uploading it some data and creating a chatbot over that data Did you know there's an open-source solution that can do the same thing built entirely in typescript? @dialoqbase by @n4ze3m Uses
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NYE Coding Marathon: Developer Relaxation and Collaboration
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Current status: NYE coding marathon with @badphilosopher and @theannabrockman
. Most relaxing part of the year. -
Twelve Days Without Code: A Developer’s Design Journey
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~12 days where I didn't touch some code in 2023. if I had to guess I was designing on those other days only thing I can promise is that I'll never stop loving what I do
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Evaluating RAG Pipelines with LangChain and RAGAS
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Evaluating RAG pipelines using LangChain and Ragas LangChain can help you build RAG pipelines, but how do you evaluate them? We have a great integration with RAGAS to do exactly that! h/t @DataScienceHarp for writing all about it Blog: https://
deci.ai/blog/evaluatin
g-rag-pipelines-using-langchain-and-ragas/
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Building RAGs with LangChain: Practical Tutorial
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Building your own RAGs with LangChain A practical tutorial from Madhav Thacker (Senior Data Scientist @Shopify
) on how to build your own RAGs with @langchain Thanks to our friends at @arizeai for organizing! YouTube: https://
youtube.com/watch?v=IUEny5
cbys8
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PromptBench: Unified LLM Evaluation and Prompt Engineering Library
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3/ PromptBench – a unified library that supports comprehensive evaluation and analysis of LLMs; it consists of functionalities for prompt construction, prompt engineering, dataset and model loading, adversarial prompt attack, and more.