snowcrash123

4 ms·

1. 1.▲
   by snowcrash123 3y ago

   Good read. Currently there are lot of issues in autonomous agents apart from Finite context length, task decomposition and natural language as interface mentioned in the article. I think for agents to truly find adoption in real world, age
2. 2.▲
   by snowcrash123 3y ago

   So langchain's agents are lightweight implementation of existing liberaries. Superagi on the other hand is focussed on real world production deployment
3. 3.▲
   by snowcrash123 3y ago

   Currently, there is support for GPT3.5, GPT3.5 16k and GPT4, but there are some open prs for opensource models like GPT4All and Vicuna. Going forward idea is to integrate with as many models as possible and philosophically it is model agnos
4. 4.▲
   by snowcrash123 3y ago

   Goal of SuperAGI is to build useful autonomous agents and to do that there are bunch of things I have included in the project which is not there in autogpt etc, like agent trajectory fine tuning, running concurrent agents or agent clusters,
5. 5.▲
   Show HN: Open-source framework to build, manage and run Autonomous Agents(github.com)

   6 points by snowcrash123 3y ago|8 comments
6. 6.▲
   by snowcrash123 3y ago

   I agree on the excerpt on agents. Reliability and reproducibility of task completion is the biggest problem for agents to cross the chasm to real life use cases. When agents are given an objective, they think everything from first principle
7. 7.▲
   by snowcrash123 3y ago

   This looks like a very cool project and much needed