The hottest Prompt engineering Substack posts right now

And their main takeaways

Category

Top Technology Topics

Advanced Prompt Engineering

Deep (Learning) Focus • 609 implied HN points • 08 May 23

🕹 Technology AI/ML Deep Learning Prompt engineering Information Retrieval

LLMs can solve complex problems by breaking them into smaller parts or steps using CoT prompting.
Automatic prompt engineering techniques, like gradient-based search, provide a way to optimize language model prompts based on data.
Simple techniques like self-consistency and generated knowledge can be powerful for improving LLM performance in reasoning tasks.

Practical Prompt Engineering (Part One)

Deep (Learning) Focus • 373 implied HN points • 01 May 23

🕹 Technology AI Machine Learning Prompt engineering Chatbots Deep Learning

LLMs are powerful due to their generic text-to-text format for solving a variety of tasks.
Prompt engineering is crucial for maximizing LLM performance by crafting detailed and specific prompts.
Techniques like zero and few-shot learning, as well as instruction prompting, can optimize LLM performance for different tasks.

LLMs In Production: The Good, The Bad, And The Ugly

High ROI Data Science • 216 implied HN points • 30 Jun 23

🕹 Technology AI Documentation User Experience Training Prompt engineering

LLMs in production for enterprise use cases are challenging due to lack of quality documentation.
Prompt engineering content can be unreliable, but there are some quality resources available.
Training users to be prompt engineers can enhance the effectiveness of LLM-supported tools.

Week 75 - E3 - 🛠️ Prompt Engineering Basics and 50+ Free 🎁 Product Management Prompts 🚀

The Product Channel By Sid Saladi • 23 implied HN points • 21 Jan 24

🕹 Technology AI Product Management Prompt engineering Generative AI

Prompt engineering is crafting effective natural language prompts to get desired outputs from AI.
Prompt engineering is crucial for product managers to unlock AI potential in workflows and decision-making.
Well-structured prompts include clear instructions, context, format, and tone, enhancing coherency and relevance.

How to talk to AI

Prompt Engineering • 216 implied HN points • 29 Apr 23

🕹 Technology AI Language Models Communication Newsletter Prompt engineering

Effective communication with AI models depends on providing quality prompts.
When interacting with AI, avoid asking it to rephrase or rewrite text directly; instead, focus on asking for correctness and improvements.
Maintaining your unique writing style when engaging with AI is important to preserve your voice in the text.

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LLMemento

Gradient Ascendant • 13 implied HN points • 18 May 23

🕹 Technology AI Models Prompt engineering Fine-tuning

Large language models like AI have no memory and rely on prompts
There are efforts to mitigate the lack of memory in AI through techniques like fine-tuning
The evolution of AI abstraction layers mirrors the historical development of computer hardware

“It worked when I prompted it” or the challenges of building an LLM Product

ScaleDown • 3 HN points • 14 Apr 23

🕹 Technology Prompt engineering Data Training

LLM APIs make building complex applications easier.
Challenges in building LLM products include reliability, scalability, and prompt engineering.
Best practices for deploying LLM models involve finetuning, effective prompt engineering, and using vector databases.