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5 ways to immediately improve your AI models

Blog post from Retool

Post Details
Company
Date Published
Author
Andrew Tate
Word Count
2,184
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

Enterprise AppGen introduces AI-powered app generation that promises to be fast, secure, and production-ready, but deploying AI models like pre-trained large language models (LLMs) requires additional refinement to meet specific business contexts. The text explores several techniques to enhance AI models, such as Retrieval-Augmented Generation (RAG) which combines retrieval models and generation techniques to provide context-specific responses, and fine-tuning, which adapts a model to specific domains by training it on a domain-specific dataset. Prompt engineering is discussed as a crucial skill for crafting effective AI prompts to generate desired outputs. Model switching is mentioned as a method to find the best AI model for a given use case by testing and comparing different models. Multimodality, the ability to generate both text and images, is highlighted as a way to create engaging multimedia content. Retool is presented as a platform that facilitates these enhancements, allowing for easy integration, manipulation, and testing of AI models to improve their performance and applicability.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Model Fine-tuning 15 806 111 60 +94%
RAG 9 1,081 177 62 +40%
LLM 8 2,718 331 130 +3%
Real-time 1 2,305 607 180 +15%
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