I see that the agents are part of OpenAI’s development pipeline as well. But good to know that Mistral AI has also implemented it. This will push the AI developments in a much faster rate
Would you be able to tell me if you believe there's a way to formulate a workflow using Mistral's AI agentic framework that follows a more 'data pipeline' approach, rather than an agentic one where agents communicate sporadically? Specifically, I'm thinking of a linear, data-driven approach where roles like project manager, QA engineer, and software engineer pass information in sequence-similar to how traditional software development workflows operate.
This sounds interesting and potentially doable. The performance would really depend on the structuring of the data and how well the models can reason about them. Mistral 2 Large is very capable from what I can tell. Feel free to share more on what you have in mind and I might be able to give you some concrete suggestions and thoughts.
The explanation is clear and clear, thank you for sharing, and I look forward to the fine-tuning comparison with openai
I see that the agents are part of OpenAI’s development pipeline as well.
But good to know that Mistral AI has also implemented it.
This will push the AI developments in a much faster rate
That was a good overview. It would be great to go through in more detail. There are options along the way to fine tuning I was unsure of.
Yes. I agree. I might end up doing part 2 of this because there are very interesting ways to leverage these features.
Excellent video, I going to give it a try. Thanks.
Would you be able to tell me if you believe there's a way to formulate a workflow using Mistral's AI agentic framework that follows a more 'data pipeline' approach, rather than an agentic one where agents communicate sporadically? Specifically, I'm thinking of a linear, data-driven approach where roles like project manager, QA engineer, and software engineer pass information in sequence-similar to how traditional software development workflows operate.
This sounds interesting and potentially doable. The performance would really depend on the structuring of the data and how well the models can reason about them. Mistral 2 Large is very capable from what I can tell. Feel free to share more on what you have in mind and I might be able to give you some concrete suggestions and thoughts.
Can we create and use these Mistral agents through AWS bedrock?
Not sure. I will look into this soon because I am getting requests for these popular cloud providers l.
Muito bom
Seems equivalent to OpenAI Custom GPTs.
The main difference seems to be the possibility to attach it to a fine-tuned version, AFAIK, it's not possible with OAI.
no dataset
No dataset? What you mean?