Technology like Drag Your Gan faces challenges, such as only editing generated images and the pixel color dependency. Despite this, progress continues to overcome these limitations.
@whats_ai
-
2023 AI Breakthroughs Repository Highlights Generative AI Progress
By
–
Keeping up with AI developments is difficult. A 2023 repository of breakthroughs offers insights into Generative AI's complexity. This rapidly growing field promises to enhance daily life soon.
-
VALL-E Voice Cloning and Drag Your GAN Image Editing Advances
By
–
The new audio system VALL-E can duplicate a voice using a 3-second recording, expanding AI voice imitation limits. Meanwhile, Drag Your Gan applies StyleGAN2 tech for interactive and precise image editing.
-
Open Source AI Data Adaptation Project Released
By
–
Most of it is yes! And the data we used is from online resources that we all mention and link to. It is a straightforward adaptation of the open source repo : https://
github.com/jerpint/buster -
Understanding RAG Dynamics: Retrieval Augmented Generation Explained
By
–
Watch this insightful video to learn more about the dynamics of RAG, Retrieval Augmented Generation: https://
youtu.be/7ytyK6u3aAk. -
RAG-Powered AI Tutor Surpasses ChatGPT Knowledge Limitations
By
–
The Towards AI's AI tutor uses Retrieval Augmented Generation (RAG), enabling both chatbot and user. Contrary to ChatGPT's limited knowledge, AI tutor pulls updated information from various sources for AI queries.
-
RAG systems reduce AI hallucinations and improve knowledge quality
By
–
The system lowers hallucination risks and offers frequent knowledge base updates. Using RAG in AI tools can boost information quality.
-
Free Zero-to-Hero LLM Training Course from AI Leaders
By
–
We ( @towards_AI ), @activeloop , and the @Intel disruptor initiative offer a free "zero-to-hero" course on Large Language Models (LLMs). The course, suitable for all AI proficiency levels, will teach how to train and fine-tune LLMs using Python.
-
Free Course on Training and Fine-Tuning Available Now
By
–
Don't miss out on this chance – read more at https://
louisbouchard.substack.com/p/free-course-
on-training-and-fine
…. And subscribe to the newsletter to learn more about my AI projects! -
NLP Guide: Build and Deploy Machine Learning Models Online
By
–
The guide offers detailed content on areas like natural language processing (NLP) and practical resources for applying learned skills. Users can build, display machine learning models online and participate in Kaggle competitions.