Legendary Leaks - Grimoire 2-9 - Part 5: Flying Lessons: Taming Shoggoth
This section covers several projects related to AI agents and code interpreters, including BabyAgi, Smol-dev, Aider.chat, Julius.ai, and Open Interpreter. These tools demonstrate how large language models can be combined with looping task lists for automated programming and data analysis, introducing new forms like Hivemind and Claude Artifacts.
Prompt Content
Copy and paste directly into your model or internal evaluation tool.
Part 5: Flying Lessons: Taming Shoggoth
Chapter 16: Surfing Dragons: Agents, Code Interpreters & New Forms
Move some numbers here and add Hivemind & claude artifacts
57: BabyAgi LLM + loop, a basic task list agent This is the simple version: https://replit.com/@YoheiNakajima/BabyBeeAGI#main.py Original more complex version using pinecone here: https://replit.com/@YoheiNakajima/babyagi#main%20(copy).py
58: Smol-dev https://github.com/smol-ai/developer No further instructions... It appears the pages have been damaged, and a portion of the book is missing
59: Aider.chat https://aider.chat/ No further instructions... It appears the pages have been damaged, and a portion of the book is missing
60: Julius.ai https://julius.ai/ Code interpreter on steroids, with a focus on data analysis Best part: live HTML previews
61: Open Interpreter https://openinterpreter.com/ No further instructions... It appears the pages have been damaged, and a portion of the book is missing
Use Cases
Reference Output
This excerpt from 'Legendary Leaks - Grimoire 2-9' Part 5 describes a collection of cutting-edge AI tools and technological advancements, illustrating the evolution from foundational agent frameworks to sophisticated code-interactive platforms in the field of autonomous AI systems.
Scoring Rubric
Evaluate whether the response accurately identifies the core functionalities of each project (e.g., BabyAgi's task-loop mechanism, Julius.ai's data analysis capabilities) and understands their role within the broader landscape of AI agents.
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