github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-06 21:43:44 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix documentation typos (#3870)

Browse Source 
Co-authored-by: Liviu Asnash <liviua@maximallearning.com>
This commit is contained in:
liviuasnash1
2023-05-02 06:58:38 +03:00
committed by GitHub
parent 109927cdb2
commit 6396a4ad8d
5 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/use_cases/agent_simulations.md
View File

@@ -1,12 +1,12 @@
# Agent Simulations
Agent simulations involve interacting one of more agents with eachother.
Agent simulations involve interacting one of more agents with each other.
Agent simulations generally involve two main components:
- Long Term Memory
- Simulation Environment
Specific implementations of agent simulations (or parts of agent simulations) include
Specific implementations of agent simulations (or parts of agent simulations) include:
## Simulations with One Agent
- [Simulated Environment: Gymnasium](agent_simulations/gymnasium.ipynb): an example of how to create a simple agent-environment interaction loop with [Gymnasium](https://gymnasium.farama.org/) (formerly [OpenAI Gym](https://github.com/openai/gym)).

2
docs/use_cases/autonomous_agents.md
View File

@@ -7,7 +7,7 @@ The applications combine tool usage and long term memory.
At the moment, Autonomous Agents are fairly experimental and based off of other open-source projects.
By implementing these open source projects in LangChain primitives we can get the benefits of LangChain -
easy switching an experimenting with multiple LLMs, usage of different vectorstores as memory,
easy switching and experimenting with multiple LLMs, usage of different vectorstores as memory,
usage of LangChain's collection of tools.
## Baby AGI ([Original Repo](https://github.com/yoheinakajima/babyagi))