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LangChain for LLMs is... basically just an Ansible playbook

14.5K views
•
February 2, 2023
by
David Shapiro
YouTube video player
LangChain for LLMs is... basically just an Ansible playbook

TL;DR

Lang Chain is seen as innovative but is essentially an ansible playbook lacking depth for comprehensive process automation.

Transcript

foreign okay this is going to be a spicy take but um and this is also not a criticism of Lang chain because they are new right it's a 0.0.75 um as a sis admin I am not impressed by Lang chain and I know that a lot of people that are coming from the AI and ml place are super impressed by this but this is fundamentally just a Playbook or a run book a... Read More

Key Insights

  • 🤯 Lang Chain is perceived as innovative by AI and ML enthusiasts but lacks depth for experienced sys admins.
  • 🔨 It functions similarly to an ansible playbook, offering basic workflow creation tools without comprehensive automation features.
  • 🎟️ Critical components such as loops, parallelism, rules, triggers, and data collection are missing in Lang Chain.
  • 🤗 Existing open-source platforms like Stack Storm and Run Deck provide more advanced capabilities and integration options.
  • 🪡 Lang Chain needs to evolve to include parallelism, triggers, rules, and robust data storage for complex process automation tasks.
  • ❓ The recommendation is to leverage successful automation platforms like ansible, Stack Storm, or Run Deck over Lang Chain for a sophisticated cognitive architecture.
  • ❓ Implementing python functions and granular workflows in platforms like Stack Storm and Run Deck can enhance automation capabilities beyond what Lang Chain offers.

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Questions & Answers

Q: Why is Lang Chain perceived as similar to an ansible playbook?

Lang Chain's configuration tools for workflow creation resemble an ansible playbook, lacking advanced process automation features required by experienced sys admins.

Q: What critical components are missing in Lang Chain for comprehensive process automation?

Lang Chain lacks the ability to run in loops, in parallel, implement rules, triggers, and effectively collect and store data needed for complex automation tasks.

Q: How do platforms like Stack Storm and Run Deck compare to Lang Chain?

Stack Storm and Run Deck offer advanced features for event triggers, rules, integration options, superior workflows, and data handling capabilities that outmatch Lang Chain's basic functionality.

Q: What approach is recommended for a sophisticated cognitive architecture?

For a more advanced cognitive architecture, including parallelism, triggers, rules, and robust data collection, utilizing platforms like Stack Storm or Run Deck is suggested over Lang Chain's limited capabilities.

Summary & Key Takeaways

  • Lang Chain is perceived as impressive by AI and ML enthusiasts but falls short for experienced sys admins as it essentially functions as a basic workflow.

  • The tool lacks the critical components required for complex process automation, such as loops, parallelism, rules, triggers, and data collection.

  • Existing open-source platforms like Stack Storm and Run Deck offer more advanced capabilities and integration options compared to Lang Chain.


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