I just wanted to say thank you for your incredible tutorials. I’m learning a lot and loving every minute of it!
@leonvanzylАй бұрын
Thank you very much for the feedback!
@daltheman8 ай бұрын
As a tech teacher for over 20 years, I have to say that your teaching is excellent. You are beyond just being a programmer. Thank you and keep teaching us!
@leonvanzyl8 ай бұрын
Wow, that is amazing feedback! Thank you!!
@rrioclkls772110 ай бұрын
your videos have brought me back from the brink of insanity, thank you.
@leonvanzyl10 ай бұрын
You're welcome 🤗
@lindseyfisher80218 ай бұрын
These videos are incredibly helpful! I've watched tons of tutorials and yours just make the concepts so clear and easy to follow! Subscribed and look forward to more
@leonvanzyl8 ай бұрын
Thank you 🙏
@ahassan727011 ай бұрын
You are wonderful man. You have EXTRAORDINARY way in delivering and explaining information. I really get great benefit from your channel. Thank you so much for your great efforts and sharing such important information.👏👏
@leonvanzyl11 ай бұрын
This comment truly motivates me. Thank you very much! Please press like on the video to help put this video in front of more people
@ahassan727011 ай бұрын
Already I did. Once again thank you so much for sharing this information.@@leonvanzyl
@ishandindorkar28468 ай бұрын
Thank you for creating this video. It helped me a lot.
@leonvanzyl8 ай бұрын
You're welcome 🤗
@Matt-hp1cl8 ай бұрын
Excellent tutorial, so clearly explained, thank you. I needed the JSON parser.
@leonvanzyl8 ай бұрын
You're welcome
@yingzhaozhou43194 ай бұрын
Incredible and intuitive lecture.
@leonvanzyl4 ай бұрын
Thank you
@aravindk81889 ай бұрын
You are simply genius.
@AssassinUK Жыл бұрын
This and your previous video have been great! But I started following you based on your Flowise videos and now I use Flowise a lot for production work as well. Are you going to make a Flowise version of your videos based on these videos at all? Don't forget your Flowise followers 😉
@leonvanzyl Жыл бұрын
I have not forgotten about Flowise at all, don't worry. I am literally working on an updating Flowise tutorial series, as we speak. A lot has changed since that original series.
@ДенисСобиров6 ай бұрын
Best tutorial!
@leonvanzyl6 ай бұрын
Thank you 😊
@fatiga24268 ай бұрын
Hi, great video! I was wondering, would it be fine if we just got the string from the content of the AI Message Object instead of using a parser? I noticed everyone uses parsers for this but I'm not sure why yet. Thanks!
@rogerwmwong8 ай бұрын
I am trying to follow your tutorial. When I am writing the statement "parser = JsonOutputPaser(pydantic_object=Person)", there is no "pydantic_object" although I can find "pydantic" and "pydantic_core", should I use "pydantic" instead?
@rogerwmwong8 ай бұрын
I tried "parser = JsonOutputParser(pydantic=Person)" and it works! Thanks!
@leonvanzyl8 ай бұрын
Thank you for sharing!
@alokbhatt848 ай бұрын
I am trying to extract 3rd field as address from my prompt apart from name and age. But I am not getting any output why? Is it because we can only output two fields from the json parser?
@leonvanzyl8 ай бұрын
There is no limit to the amount of fields. Ensure that your system prompt as well as the output parser have the 3rd field in them.
@alokbhatt848 ай бұрын
@@leonvanzyl I am using this function def call_json_output_parser(): prompt = ChatPromptTemplate.from_messages([ ("system", "Extract information from following phrase. Formatting instruction: {format_instruction}"), ("human","{phrase}") ]) class Person(BaseModel): name: str = Field(description = "name of the person") age : int = Field(description = "age of the person") address: str = Field(description = "address of the person") parser = JsonOutputParser(pydantic_object=Person) chain = prompt | llm | parser return chain.invoke({ "phrase":"Max is thirty years old. He lives in 492, Kamal Market, Delhi. He studies in Convent school.", "format_instruction":parser.get_format_instructions() }) After printing this I am not getting any output. consol output is this {'properties': {'name': {'title': 'Name', 'description': 'name of the person', 'type': 'string'}, 'age': {'title': 'Age', 'description': 'age of the person', 'type': 'integer'}, 'address': {'title': 'Address', 'description': 'address of the person', 'type': 'string'}}, 'required': ['name', 'age', 'address']} However If I am commenting address field from the pydantic, I am able to print age and name. Not sure where I am making the mistake
@iammadhankumar10 ай бұрын
Hi, which model should we use for code migration? For example, migrating a Java servlet controller to a Spring Boot controller.
@leonvanzyl10 ай бұрын
GPT 4 and Clause Sonnet would be perfect for your use-case.
@overprismatic-rv1ci8 ай бұрын
Why your terminal has such cool colors? Mine is all white. Also my code has different colors...
@leonvanzyl8 ай бұрын
I think it's because I was using the PowerShell terminal 😊
@CreatewwwPl9 ай бұрын
Leo, You should import `pydantic.v1` instead of `langchain_core.pydentic_v1`.
@leonvanzyl9 ай бұрын
Oh my goodness, did they move things around again? Thanks 😊