I follow a lot of youtube channels for AI. But I must say and I am sure most of your subscribers will agree that your contents are in another level. Thanks for everything. Can't wait to see your future videos on conversating chatbots (Agent simulation) to produce a remarkable things.
totally agree the issue with this is how to put it in a colab for people to play with it. I always try to release some code so people can try it out themselves. I need to look at it again.
@@samwitteveenai My thought was that perhaps for some of your vids, you have a little segment that translates the usage to langflow so that we can see how to begin to string graphical nodes together to get the same kind of outcomes that you're showing with your code bits? Thanks again for making all this more accessible for the 'common man' :)
I would be really interested in using models like alpaca 7b that you can self host for this kind of application and see if the performance of these 'small' models would actually suffice. 🤔
I actually tested it on Gpt4all 7B 4bit, vicuna 7B 4 but (llama based) models, frankly it was not correctly working, i tested it on the python_repl by parsing a CSV file and asking it to find the rows of the CSV, but unfortunately it didn't pass the correct python code to do that, but it correctly identified that it should use the pandas library and dataframe method. It was looping again and again for ever with each time giving a wrong response. I think we should do further testing and i am sure that larger model like the vicuna 13B or the Openassistant 30B model will work correctly(i was not able to test the bigger model as am resource limited)
Hi, Great tutorial! There are some changes in the latest LangChain library. Warning:```LangChainDeprecationWarning: The function `initialize_agent` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. instead. How to create_react_agent instead of calling initialize_agent()
Getting this error when trying to query something from duckduckgo search-error code : 60 , 'SSL certificate problem: unable to get local issuer certificate' Any way to solve this? Please help me
Helpful video. I did a zapier chain with the langchain example where i set up find email and send email. It would send the email but i was asking for summaries of stoicism and it wasn’t creating a summary in the email. Then when i had find and send email zapier calls it seemed to be calling the send email without the find email first but i could never get it to fill in the email properly. Not sure how to debug these natural language bugs.
Hi! Is there any way to make the wikipediaAPIwrapper print the output on another language(french, spanish, etc...)???? And for the DuckDuckGo tool, is there any way to set the country for searching information??? For example, if I live in Germany and I ask the engine to tell me when Germany's next football match will take place, I would like the engine to tell me Germany's time and not USA's.
hi Sam! Good tutorial. I have a question- let's say i'm going custom to use the python tool to answer queries out of a pandas dataframe. How can I do this? Should there be two tools, one which generates python commands and one PythonREPL tool? I'm actually looking into custom tool since the langchain's pandas agent does NOT seem to be supporting 'memory' so it can't really be used in a chatbot as it needs to be reminded of the context again and again.
For some reason, when I run `!pipenv install langchain` in my jupyter notebook, I keep getting version 0.0.131 . Any idea why its not installing the latest by default?
Do langchain agents have the ability to access vector databases for custom knowledge that the user set (like the pdf example you had in another video)? If so, which tool would that be in langchain?
Is there a hidden prefix for the prompt that tells the LLM how to use tools in general? That presumably is not native knowledge and is a Langchain feature.
Hi sam, is this still valid & useful after one year. Or are there better tools around.another thing i dont get it clearly is whats the difference with crewai or autogen for ins.
I would love to make a tool that speeds up image search. Basically it would be great to type someones name or a city ect and immediately get images of the prompt.
I am not sure I understand what you are trying to do if you want to run your langchain app as an API that can be called via http etc you could use FastAPI or Flask and then expose a port.
Have you taken a look at the cataclysm library? Also would love your thoughts on my chatsnack module, more for ez ChatGPT usage-- not as advanced as langchain, though.
Does it use OpenAI LLM to reason which tool to use given a task? Not sure which line of code actually does this reasoning. I guess it is inside the zeroshot function. It is done behind the scene.
@@samwitteveenai could you elaborate a bit on how the data looks like that you are using for fine-tuning? So how do the instructions look like? Are you using open-source models to generate your training data? Have you used models like Dolly or OpenAssistant together with a sample seed to generate datasets? Could you make a video on that if so? I have tried Dolly extensively together with the approach from the Alpaca model (175 sample questions -> then generate more instructions based on those samples) and it failed miserably.
Hi there, I have recently started getting into langchain & your video is immensely helpful. But I had received an error on Windows machine when I installed Langchain & imported it. Error was pexpect has no method called spawn. I've put up a solution video for it on my channel. I hope the video will be helpful for everyone. Thanks a ton for your video though. Langchain Pexpect Error Solution video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-hCJyITK1iis.html
Do you think we can get around the chat confusion of tool use, I’ve also seen this issue in my experiments, by being more concise and provide examples within the tool description? That’s again for all your hard work and love the content!🥳🦾