#promptoptimization — Public Fediverse posts

A deterministic middleware to compress LLM prompts by 50-80%

https://github.com/ARPAHLS/skillware

#HackerNews #deterministicmiddleware #LLMcompression #AItechnology #promptoptimization #skillware

🎉 Oh, look! Yet another thrilling #dissertation on prompt optimization – because clearly, our lives were incomplete without a "framework" to remind us that "choosing metrics" is still a thing. 🚀 Don't worry, it also comes with a handy guide to define "success" in terms of stats-lingo no one asked for. 🍇🤓
https://www.gojiberries.io/not-so-prompt-prompt-optimization-as-model-selection/ #promptoptimization #metrics #successframework #statslingo #HackerNews #ngated

Not So Prompt: Prompt Optimization as Model Selection

https://www.gojiberries.io/not-so-prompt-prompt-optimization-as-model-selection/

#HackerNews #PromptOptimization #ModelSelection #AIResearch #GojiBerries #HackerNews

🧠💸 What if your AI system could deliver smarter results at just $0.0001 per prompt?
We saved over $12,000/year using memory layers, small models, and prompt compression — without losing quality.
This new approach is changing how GenAI is built in 2025.
👇 Read the full blueprint here:
https://medium.com/@rogt.x1997/the-0-0001-brain-why-thinking-small-is-the-new-superpower-in-ai-7699bb037c67
#GenAI #LLMstack #AIEngineering #PromptOptimization
https://medium.com/@rogt.x1997/the-0-0001-brain-why-thinking-small-is-the-new-superpower-in-ai-7699bb037c67

LLMs (Large Language Models) are widely used but can be challenging to utilize effectively. In this guide, the author shares examples on creating effective prompts, using embeddings and vector stores, and leveraging Azure AI services with OpenAI GPT. The author has created a public GitHub repository... https://techcommunity.microsoft.com/t5/startups-at-microsoft/from-prompts-to-embeddings-and-vector-stores-how-to-use-openai/ba-p/3887755 #LLMs #AIapplications #promptoptimization #softcorpremium