Harrison Chase introduced LangChain on The AI Engineer Podcast, emphasizing its utility for building context-aware reasoning applications using chains and language model agents. Excited about elements like plan-and-execute agents and MultiOn, Harrison addressed comments about the predominance of prompt tuning and data serialization in the workflow. The system works best with OpenAI models, with supportive tools like jsonformer and LCEL available.
Getting Great at Searching for a Job
When my last startup ran out of money I was forced into the unfamiliar territory of searching for a job opportunity.
High Performing Teams – The Core Protocols
While renewing my Agile Scrum Product Owner Certification, I ran across The Core Protocols by Richard Kasperowski. Imagine studying the highest performing teams in the world, identifying what they do differently, and then distilling that into some core principles or protocols. This is basically what Kasperowski has done by basing this on the research below […]