The CrewAI UI Studio is available with the red "Get Started" button under the image in this clip, th-cam.com/users/clipUgkxEMjpJbnzs--1ANh9-K1o2SE2INagLE15?si=bTCsx5yQQEuHJw5I
I tried that before and it was directing me somewhere that wasnt their studio... This time it worked though, so maybe some session funniness in the browser
I like the fact that it integrates with HuggingFace models, so it could be useful for anything that you want to do quickly or for a proof of concept, as integrating with on device models can be a pain! It looks simple, so it depends what you want.
@@reserseAI looks good tbh! Another good out of the box option. A templated API like this would be good if you could then build the templates with an orchestrator like LangGraph
IMHO comparison is very shallow, it is based on documentation overview and not sure author has used all of them in practical problem solving. What would be more usual is comparing implementation of non trivial problem compare their implementation complexity, accuracy of result, performance and cost of changes.
@mariuszsiera thanks for the feedback. I have used 2/3 of them and wanted to see how the other shaped up. I considered something like that but as I was creating this video it felt like comparing apples to nuts. They are all quite different and have different problems that they would work better at solving.
@@andrew.derevo I certainly got that feeling about Autogen. CrewAI looks ok as a framework but I think only if what you are trying to achieve is task based and well defined.
@ we use langchain with lightllm as unified api proxy provider, works really good for now, langchain sometimes feels overloaded in some cases but definitely do the job. will check crewai again, probably something changed over time.
@@WW_AI_AdventuresCreeAI has limited documentation path to true production deployment at scale in the Cloud compared to LangGraph that offer multiple options: SaaS, Cloud (container) or even local dev! So for me CrewAI is the weakest in this area
Great video!
🙏 thanks
Good high level comparison of different agentic frameworks, would have been better if gone bit deeper but good starting point, liked it!!
@@rajashekarakula3991 Thanks! If I do a follow up, what is it that you want to know?
Great job 👏
Thanks! 🙏
The CrewAI UI Studio is available with the red "Get Started" button under the image in this clip, th-cam.com/users/clipUgkxEMjpJbnzs--1ANh9-K1o2SE2INagLE15?si=bTCsx5yQQEuHJw5I
I tried that before and it was directing me somewhere that wasnt their studio... This time it worked though, so maybe some session funniness in the browser
Good and in-depth comparison. What do you think about smolagents from Hugging face?
I like the fact that it integrates with HuggingFace models, so it could be useful for anything that you want to do quickly or for a proof of concept, as integrating with on device models can be a pain! It looks simple, so it depends what you want.
Hi sir is there a way to connect to you ??
@@ParthShukla-o3t yes - check out the video description 👍👍
Pydantic ai works great with langchain.
Ah that's good to know 🙏
phidata 😅🔥🔥🔥
@@reserseAI looks good tbh! Another good out of the box option. A templated API like this would be good if you could then build the templates with an orchestrator like LangGraph
Pydantic AI is obviously the best
Oh yeah? I'm not so sure..
Haha maybe you’re right, but I find it nice. Not to many abstractions and easy to get insight with log fire. Have you tried it?
@alexwoxst Not yet - I had a look and it does look like a good API with simple abstractions, I will be taking a more detailed look though!
Pydantic ai is a revolution for me in making commercial grade ai apps. It's easy to swap out llms as requirements change so many other benefits
@Jobeyhshxgs Interesting, thanks for letting me know.
IMHO comparison is very shallow, it is based on documentation overview and not sure author has used all of them in practical problem solving. What would be more usual is comparing implementation of non trivial problem compare their implementation complexity, accuracy of result, performance and cost of changes.
@mariuszsiera thanks for the feedback. I have used 2/3 of them and wanted to see how the other shaped up.
I considered something like that but as I was creating this video it felt like comparing apples to nuts. They are all quite different and have different problems that they would work better at solving.
any one else feels like crewai is only a hype driven and almost useless in any production applications?
@@andrew.derevo I certainly got that feeling about Autogen.
CrewAI looks ok as a framework but I think only if what you are trying to achieve is task based and well defined.
@ we use langchain with lightllm as unified api proxy provider, works really good for now, langchain sometimes feels overloaded in some cases but definitely do the job. will check crewai again, probably something changed over time.
@@WW_AI_AdventuresCreeAI has limited documentation path to true production deployment at scale in the Cloud compared to LangGraph that offer multiple options: SaaS, Cloud (container) or even local dev! So for me CrewAI is the weakest in this area