Fast, clear, easy to understand, just right amount of information to understand the topic, but not too much to get overwhelmed. I love it, thanks a lot!
Very clear and real-world example too. Thank you
Thank you for this amazing content!
Such great content. I was going to gist this and then i see that's even how you're sharing it! I wanted to get a use case for Instructor library as looked interesting, but wasnt sure what it added beyond pydantic. ... and here it is. Thanks!
Great! would love to see more of these.
Outstanding! But how to call a simple tool? There is no tutorials about function calling with Instructor? Thanks!
This is exactly what i needed ! Thanks !!
Excellent video. Can you go into a bit more detail of how a database of this type of information might look and operate. Or any type of automation that would be involved? You mentioned sentiment or you mentioned doing analytics
You did an amazin job, thank you so much for sharing this.
Loved the content. What are the advantages of using this instead of function calling?
How would you evaluate this kind of system? What kind of metrics/tricks would you use?
I tried following your script and I downloaded pip install -U instructor but I keep getting no module found instructor, have you faced this kind of errors any thoughts?
This is similar to my project. But how to productionize this. meaning .. how to monitor model performance as new data flows in. any help here is appreciated.
Good tip thnkss
Je hebt helemaal geen ai gemaakt. Je gebruikt gewoon chatgpt
Watching this made me cringe. No awareness of any ML methodology. Software engineers just using AI for everything and without methodology or evaluations. I know to turn away candidates applying for my ML Engineering roles when they have “AI Engineer” in their resumes
@avidlearner8117