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Assembling AI: The Illusion of Simplicity

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Manage episode 413011536 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Building your own GenAI system and app requires a deep understanding of the rapidly evolving technology and the complexities involved. It is not as simple as building traditional web or mobile apps. GenAI is constantly changing, with new models and updates being released frequently. This means that the frameworks, behaviors, and APIs used to interact with the models can change rapidly, requiring constant maintenance and upgrades. Additionally, the process of ingesting and understanding data, especially unstructured data like images and PDFs, is more complex than it seems. Assuming that maintaining the infrastructure and quality of GenAI apps is similar to your existing projects can lead to expensive costs and time-consuming maintenance cycles. Using a platform like Krista can provide the necessary tools and expertise to handle these complexities and allow businesses to focus on solving their specific business problems instead of maintaining a custom-built solution.

Takeaways

· Building your own GenAI system and app is not as simple as building traditional web or mobile apps.

· GenAI technology is rapidly evolving, with new models and updates being released frequently.

· The frameworks and APIs used to interact with the models can change rapidly, requiring constant maintenance and upgrades.

· Ingesting and understanding unstructured data, like images and PDFs, is more complex than it seems.

· Using a platform like Krista can provide the necessary tools and expertise to handle the complexities of building GenAI apps and automations.

More at krista.ai

  continue reading

59 episodes

Artwork
iconShare
 
Manage episode 413011536 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Building your own GenAI system and app requires a deep understanding of the rapidly evolving technology and the complexities involved. It is not as simple as building traditional web or mobile apps. GenAI is constantly changing, with new models and updates being released frequently. This means that the frameworks, behaviors, and APIs used to interact with the models can change rapidly, requiring constant maintenance and upgrades. Additionally, the process of ingesting and understanding data, especially unstructured data like images and PDFs, is more complex than it seems. Assuming that maintaining the infrastructure and quality of GenAI apps is similar to your existing projects can lead to expensive costs and time-consuming maintenance cycles. Using a platform like Krista can provide the necessary tools and expertise to handle these complexities and allow businesses to focus on solving their specific business problems instead of maintaining a custom-built solution.

Takeaways

· Building your own GenAI system and app is not as simple as building traditional web or mobile apps.

· GenAI technology is rapidly evolving, with new models and updates being released frequently.

· The frameworks and APIs used to interact with the models can change rapidly, requiring constant maintenance and upgrades.

· Ingesting and understanding unstructured data, like images and PDFs, is more complex than it seems.

· Using a platform like Krista can provide the necessary tools and expertise to handle the complexities of building GenAI apps and automations.

More at krista.ai

  continue reading

59 episodes

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