🧩Language models struggle with planning complex tasks.
🔑They are good at identifying what needs to be done.
📚Lack of contextual understanding hinders performance.
🧠Language models cannot handle nested tasks effectively.
💡They are based on natural language and excel at answering questions.
Why do language models struggle with planning?
—Language models lack the ability to fill in necessary context and handle nested tasks, which leads to inefficiencies in planning.
What are language models good at?
—Language models are good at identifying what needs to be done based on natural language and are effective at answering questions.
How do language models handle complex tasks?
—Language models struggle to handle complex tasks due to their limited ability to understand and fill in necessary context, making planning difficult.
What are the limitations of language models?
—The limitations of language models include the lack of contextual understanding, inefficiencies in planning, and difficulties in handling nested tasks.
What can language models excel at?
—Language models excel at identifying what needs to be done based on natural language and can provide accurate answers to questions.
00:01The creator begins by providing a status update and mentions being exhausted due to family sickness.
01:04Reflections on the performance of language models in planning complex tasks are shared.
03:00A proof of concept related to planning using language models is discussed.
06:05The benefits of using a planner instead of an agent for complex planning tasks are explored.
10:30The AGI environment and the use of building blocks instead of agents are introduced.
13:29An explanation of how the planner functions and its different types of tasks and tools is provided.
