I am at the end of my career in IT ( having started it before the advent of the Internet) and when I watch videos like this one and what you could do with such frameworks I feel like I wish I was born at this time of history because knowledge is shared so freely and the field has advanced so much and the possibilities are so many
I'm in this position : learned to code 2 years ago and are now working on multiple high potential projects. The learning curve for Python is steep but I take your words as encouragement to push trough and not forget to enjoy the process!
Thank you for your word of wisdom. It has been hard lately as there are so much to learn, and I felt overwhelmed. But instead of seeing it as "debts" of learning, Now I see it as opportunities of learning.
I started my career 20 years ago not in tech but mech engg. Enjoyed the 12 years I spent there, and then moved to Tech. When I moved to tech jobs I realized how hard it was to gain new knowledge in other domains, and how much easier knowledge sharing in tech makes it. The whole tech industry and community owe a lot of their progress to this free sharing of knowledge. Companies in other industries would probably have charged an arm and a leg for building and sharing models like llama or mistral, instead of freely making them available on the net. Open source is making all this possible! Big thanks to the community in tech for this kind of experience. And @unhandledexception1948 - thanks for sharing. Made me think about and be grateful for the state of the tech industry today (despite the negative stuff said about it often).
Hi, great job on this, now I have two questions. 1. Every example is using OpenAI, how can we switch openai for other models, could you show us how to 2. How do I use prompt with input variables, you seem to be pulling the prompt from somewhere, how do we customize that?
this is NOT AGI yet publicly avaiblle or discovered open source or with ndas privately , i dont know if they did it already just its keeps growing ,and the opensource community is doing an amazing job and also every team who tries that
I'd also like to know this. My current way of implementing multifunctional chains is by building a tree of agents where each agent is essentially it's own "state" and the top level agent is responsible for ending the conversation. I can't see what additional functionality this implementation would give me.
I am at the end of my career in IT ( having started it before the advent of the Internet) and when I watch videos like this one and what you could do with such frameworks I feel like I wish I was born at this time of history because knowledge is shared so freely and the field has advanced so much and the possibilities are so many
That's what the people you watch will say in 40 years.
@@evilluhmich Agreed
I'm in this position : learned to code 2 years ago and are now working on multiple high potential projects. The learning curve for Python is steep but I take your words as encouragement to push trough and not forget to enjoy the process!
Thank you for your word of wisdom. It has been hard lately as there are so much to learn, and I felt overwhelmed. But instead of seeing it as "debts" of learning, Now I see it as opportunities of learning.
I started my career 20 years ago not in tech but mech engg. Enjoyed the 12 years I spent there, and then moved to Tech. When I moved to tech jobs I realized how hard it was to gain new knowledge in other domains, and how much easier knowledge sharing in tech makes it. The whole tech industry and community owe a lot of their progress to this free sharing of knowledge. Companies in other industries would probably have charged an arm and a leg for building and sharing models like llama or mistral, instead of freely making them available on the net. Open source is making all this possible! Big thanks to the community in tech for this kind of experience. And @unhandledexception1948 - thanks for sharing. Made me think about and be grateful for the state of the tech industry today (despite the negative stuff said about it often).
We need this series on TS ;) Thanks for such a cool project
Langgraph is dope
Hi, great job on this, now I have two questions.
1. Every example is using OpenAI, how can we switch openai for other models, could you show us how to
2. How do I use prompt with input variables, you seem to be pulling the prompt from somewhere, how do we customize that?
Loving this.
thanks!! will try it asap
very cool!! AGI is very available for anyone
this is NOT AGI yet publicly avaiblle or discovered open source or with ndas privately , i dont know if they did it already just its keeps growing ,and the opensource community is doing an amazing job and also every team who tries that
Awesome thanks
It looks like it can replace crewai and more powerful
Indeed, and using LangSmith it can be monitored very well
Good tutorial, Audio needs improvement
Why do we need LangGraph to use loops? Why don't use just Python? It is not clear.
I'd also like to know this. My current way of implementing multifunctional chains is by building a tree of agents where each agent is essentially it's own "state" and the top level agent is responsible for ending the conversation. I can't see what additional functionality this implementation would give me.
Your audio is so quiet
Video sound is too low
just play in 1.5 speed