Artem Ryblov’s Data Science Weekly
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@artemfisherman’s Data Science Weekly: Elevate your expertise with a standout data science resource each week, carefully chosen for depth and impact.

Long-form content: https://artemryblov.substack.com
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Prompt Engineering Guide

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.

Happy Prompting!

Links:
- https://github.com/dair-ai/Prompt-Engineering-Guide
- https://www.promptingguide.ai/

Navigational hashtags: #armknowledgesharing #armtutorials
General hashtags: #promptengineering #prompts #promptdesign #prompt #prompting

@data_science_weekly
Short Courses by DeepLearning.AI

Take your generative AI skills to the next level with short courses from DeepLearning.AI.

Their short courses help you learn new skills, tools, and concepts efficiently.

Available for free for a limited time:
- Understanding and Applying Text Embeddings
- ChatGPT Prompt Engineering for Developers
- Building Systems with the ChatGPT API
- LangChain for LLM Application Development
- LangChain: Chat with Your Data
- Finetuning Large Language Models
- Large Language Models with Semantic Search
- Building Generative AI Applications with Gradio
- Evaluating and Debugging Generative AI Models Using Weights and Biases
- How Diffusion Models Work
- How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
- Pair Programming with a Large Language Model

Links:
- https://www.deeplearning.ai/short-courses/
- Linkedin version of this post

Navigational hashtags: #armknowledgesharing #armcourses
General hashtags: #deeplearning #deeplearningai #llm #transformers #embeddings #chatgpt #gradio #diffusion #semanticsearch #promptengineering #prompts

@data_science_weekly
Prompt Engineering Guide by Open.AI

This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you.

Some of the examples demonstrated here currently work only with our most capable model, gpt-4. In general, if you find that a model fails at a task and a more capable model is available, it's often worth trying again with the more capable model.

Link: https://platform.openai.com/docs/guides/prompt-engineering

Navigational hashtags: #armknowledgesharing #armtutorials
General hashtags: #llm #openai #prompts #promptengineering #gpt #gpt3 #gpt4

@data_science_weekly
🧠 Awesome ChatGPT Prompts

Welcome to the "Awesome ChatGPT Prompts" repository! This is a collection of prompt examples to be used with the ChatGPT model.

The ChatGPT model is a large language model trained by OpenAI that is capable of generating human-like text. By providing it with a prompt, it can generate responses that continue the conversation or expand on the given prompt.

In this repository, you will find a variety of prompts that can be used with ChatGPT.

To get started, simply clone this repository and use the prompts in the README.md file as input for ChatGPT. You can also use the prompts in this file as inspiration for creating your own.

Link: Direct

Navigational hashtags: #armknowledgesharing #armrepo
General hashtags: #prompts #prompt #promptengineering #chatgpt #gpt

@data_science_weekly