DreamGaussian 3D Content Generation

#12: LlamaIndex Multi Document Agents and more

Paper: DreamGaussian - Generative Gaussian Splatting for efficient 3D Content Generation

The paper proposes good quality 3D content generation framework for image-to-3D and text-to-3D tasks

Adapting Gaussian splatting significantly reduces optimization time compared to NeRF-based methods

Produces high quality textured meshes with 10 times acceleration compared to existing methods. Read the paper here

LlamaIndex introduces Multi Document Agents

• It allows answering a broader set of questions over multiple documents, some of which aren’t possible with RAG

• It sets up an agent for each document and a multi-document agent over these sub-agents

• Read the latest documentation here

Credits: Image from @clusteredbytes tweet

And More…

• View this webinar which showcases agents built by winners of the SuperAGI autonomous agents hackathon

• Check this blog by Jay Alammar and Luis Serrano, to know more about using LLMs for search with dense retrieval and reranking