mlops-course
awesome-chatgpt-prompts
| mlops-course | awesome-chatgpt-prompts | |
|---|---|---|
| 20 | 157 | |
| 2,741 | 103,721 | |
| - | - | |
| 2.1 | 7.0 | |
| 9 months ago | 9 days ago | |
| Jupyter Notebook | HTML | |
| MIT License | Creative Commons Zero v1.0 Universal |
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mlops-course
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Ask HN: Daily practices for building AI/ML skills?
coming from a similar context, i believe going top down might be the way to go.
up to your motivation, doing basic level courses first (as shared by others) and then tackling your own application of the concepts might be the way to go.
i also observe the need for strong IT skills for implementing end-to-end ml systems. so, you can play to your strenghts and also consider working on MLOps. (online self-paced course - https://github.com/GokuMohandas/mlops-course)
i went back to school to get structured learning. whether you find it directly useful or not, i found it more effective than just motivating myself to self-learn dry theory. down the line, if you want to go all-in, this might be a good option for you too.
- [Q] Any good resources for MLOps?
- Open-Source Machine Learning for Software Engineers Course
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Open-source MLOps Fundamentals Course 🚀
Find all the lessons here → https://madewithml.com/MLOps course repo → https://github.com/GokuMohandas/mlops-courseMade With ML repo → https://github.com/GokuMohandas/Made-With-ML
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What are examples of well-organized data science project that I can see on Github?
- https://github.com/GokuMohandas/mlops-course (code for MLOps course)
- Made With ML – develop, deploy and maintain production machine learning
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Where can I learn more about the engineering part of the role?
Haven’t done it but have heard good reviews - https://github.com/GokuMohandas/mlops-course
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Path to ML from a backend engineering role
If MLOps, read https://github.com/GokuMohandas/mlops-course 😎
- What skills should I focus on to improve as a MLE?
- MadeWithML – A practical approach to learning machine learning
awesome-chatgpt-prompts
- Top ChatGPT prompts I could find with ranking system
- FLaNK Stack Weekly 12 February 2024
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🌌 5 Open-Source GPT Wrappers to Boost Your AI Experience 🎁
Aside from the built-in prompts powered by awesome-chatgpt-prompts (Are you an ETH dev, a financial analyst, or a personal trainer today?), you can also create, share and debug your chat tools with prompt templates.
- Aprimorando as respostas do ChatGPT com prompts estratégicos
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Ask HN: Daily practices for building AI/ML skills?
I've found the following resources helpful:
- 15 Rules For Crafting Effective GPT Chat Prompts (https://expandi.io/blog/chat-gpt-rules/)
- Awesome ChatGPT Prompts (https://github.com/f/awesome-chatgpt-prompts)
For more resources of like nature, you can search for "mega prompt".
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Prompt writing communities
Someone assembled an adhoc page in Github that is amassing quite a large library of prompt ideas [Github]
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Ask HN: Collection of best GPT-4 prompts?
I like to use PromptLayer for this. But you could easily set up a simple CRUD web app to track prompts/average completion token # length, different variations.
There is also awesome-chatgpt-prompts (https://github.com/f/awesome-chatgpt-prompts) which has some interesting ones. What are you looking for?
- Supercharge your writing with ChatGPT prompts
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Introducing YourChat: A multi-platform LLM chat client that supports the APIs of text-generation-webui and llama.cpp.
* Built-In Prompts: Channel creativity using integrated prompts sourced from github.com/f/awesome-chatgpt-prompts.
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Yet another ChatGPT generated workout... but modified.
So, I jumped into the ChatGPT fitness wagon to generate a New And Improved® workout that will have a mix of bodybuilding and calisthenics. I used a pre-made prompt to generate a PPL+FB and specified things like fitness leve, equipment, schedules, etc. in order to make if fit my current status. From there I made it fit some of my needs and chose some exercises that I wanted to do every day: wrist and core.
What are some alternatives?
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
ChatGPT-pdf - A Chrome extension for downloading your ChatGPT history to PNG, PDF or a sharable link
mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
gpt-prompts-cli - CLI for selecting or defining prompts to use with the ChatGPT chatbot, which retrieves the prompts from the awesome-chatgpt-prompts repository.
TensorRT - PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
llm-workflow-engine - Power CLI and Workflow manager for LLMs (core package)
fastai - The fastai deep learning library
chatgpt-google-extension - A browser extension that enhance search engines with ChatGPT