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Product Update
5 Mins Read
Introducting agenta: the AI engineer platform
Introducting agenta: the AI engineer platform
The workflow of building Large Language Model applications is different from both traditional software and ML models. It requires its own tools
The workflow of building Large Language Model applications is different from both traditional software and ML models. It requires its own tools
James Arther
Apr 8, 2022
The platform to build robust LLM applications
5 Mins Read
Introducting agenta: the AI engineer platform
Introducting agenta: the AI engineer platform
The workflow of building Large Language Model applications is different from both traditional software and ML models. It requires its own tools
The workflow of building Large Language Model applications is different from both traditional software and ML models. It requires its own tools
James Arther
Apr 8, 2022
Get to know
Frequently
asked
questions
Create robust LLM apps in record time. Focus on your core business logic and leave the rest to us.
Do I need to know how to code to create LLM applications with agenta?
Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?
How it works
Frequently
asked
questions
Create robust LLM apps in record time. Focus on your core business logic and leave the rest to us.
Do I need to know how to code to create LLM applications with agenta?
Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?
How it works
Frequently
asked
questions
Create robust LLM apps in record time. Focus on your core business logic and leave the rest to us.
Do I need to know how to code to create LLM applications with agenta?
Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?