Sameer Mahajan’s Post

When you work on any #GenAI #ML #DS project, often you find the need to get your work in the hands of end users for trying out, feedback, etc. I have put together some tips that you may find useful. https://lnkd.in/dzqrMev8

Whenever #LangGraph persistence is discussed, it mostly talks about persisting state across nodes and edges throughout the workflow. It can be achieved even by in-memory persistence which is what is mostly talked, documented about. However, there is an additional subtle aspect to it which is to persist it on disk / in DB. It can help an application pick up where it had left off in case of a crash or restart.   I have done a YouTube video on it with details of how it can be done, its nuances, differentiating it from in-memory persistence, and how it can help any AI application. Appreciate any feedback. #GenAI

Interesting preliminary results from #AIAgents project https://lnkd.in/g7cve8tH https://lnkd.in/d9Dd6DAM

Thought of a use case of *Personalized Blogging with #AIAgents* https://lnkd.in/dgtSu5GE https://lnkd.in/d2gCdBkw Let me know your thoughts from a technologist's perspective as to what functionality you can think of showcasing here as well as end-users about what more features you would like to see here. Would continue posting my updates on https://lnkd.in/d9Dd6DAM

Thanks Hugging Face for #Spaces and #Models Hosted a couple of services: Marathi transcription: https://lnkd.in/diY8RdXg English transcription: https://lnkd.in/dSz6Zm3c Sentiment Score 1(bad) - 5 (good): https://lnkd.in/dQeyiXSM Feel free to try out and provide feedback

My blog on Serving #LLMs #GenAI

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