Langsmith LLMOPS Platform By Langchain-Debug ,Monitor And Build Production Grade LLM Application
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- Опубликовано: 18 мар 2024
- LangSmith is a platform for building production-grade LLM applications.
It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
LangSmith is developed by LangChain, the company behind the open source LangChain framework.
github: github.com/krishnaik06/Langsmith
Thank you Krish. A lots of love n respect.
It would be more useful if you could guide us on performing the same for locally saved models too.
Good Video. Learning a lot from you.
Amazing video. Thanks krish waiting for for your future videos
Thank you Krish. A lots of love n respect.
Can you do video on evaluations for pdf query code
Thanks krish.
Great video
you are so innocent looking while saying " I have updated my OpeniAI API, because the credit balance was less" :) :)
@krish Naik. Can you please make a video how do we make LLM model from scratch. Not project but LLM model using pytorch or tensorflow. Very less information on that
Amazing 🕶❤
@Krish Naik. How to make my LLM model from scratch.
👍🙂👍
Can we do this with open source model
I have a very generic question about evaluation of the RAG system. How can we evaluate the responses generated by the RAG system?
RAGAS is a test framework, I started using it in recent times to evaluate RAG
U r pro bro please explain from scratch
Is it possible to use a different LLM model like a gemini model rather than OpenAI's gpt model while integrating with langsmith?
we are providing retrieved information as a context, Will this data get transmitted to Langsmith webspace
, as we are using their url?
Man's dropping W's 🙏🏼🫡🔥
Are you teaching in inuron.
Hello Sir. I trying to implement the fake news classifier code of your video but i'm getting the error at this line model.add(Embedding(voc_size,embedding_vector_features,input_length=sent_length)) and the error it's showing is Unrecognized keyword arguments passed to Embedding: {'input_length': 20}. If input_length is removed it's giving empty summary table. Can you please help me to resolve this issue.
Are there any alternatives to langsmith?
will this work with local LLM?
Thank you sir, Is it support the Arabic language
Every second day new model new technology 😢
your contents are very generic. Pls do some hard work and demonstrate complex task like "storing log from langsmith into some files or database based on date range"... that kind of videos will be more helpful for experienced techies.