flâneur — a map of the web's best reading

Globe-Engineer/agents

github.com · 417 words · saved by 1 readers

This repo is a collection of useful LLM prompting/programming techniques that we've empirically found to be very useful. All the examples use the OpenAI ChatGPT API using a custom wrapper that you can install with: RANT: We made this because open source LLM agent programming frameworks are becoming absurdly complicated and over-abstracted. Libraries seem to be designed with virality as the primary objective rather than functionality, so they are extremely feature dense and bloated. They are so abstracted away from the actual prompts being sent to LLMs that you can't possibly optimize for your usecase. This repo is NOT a library in the sense that you can install it and use it via an API. Instead, we distill the most useful ideas we've found into minimal reproducable code examples that showcase useful concepts in the space of agent programming. The goal is to encourage forking and copy-pasting of both code and ideas. If you find this code useful or interesting, tag @ivan_yevenko and/or @

Globe Agent Frameworks This repo is a collection of useful LLM prompting/programming techniques that we've empirically found to be very useful. All the examples use the OpenAI ChatGPT API using a custom wrapper that you can install with: pip install chatgpt-wrapper RANT: We made this because open source LLM agent programming frameworks are becoming absurdly complicated and over-abstracted. Libraries seem to be designed with virality as the primary objective rather than functionality, so they are extremely feature dense and bloated. They are so abstracted away from the actual prompts being sent

Explore this link on the map →

related reading