I've been building a system that helps creators generate better video ideas using a combination of Retrieval-Augmented Generation (RAG) with PostgreSQL's pg_vector and a Neo4j knowledge graph.
This post details the technical approach, configuration, and key insights from deploying one of the largest language models currently available using distributed inference techniques.
As part of our deep learning research initiatives, I recently conducted a distributed Direct Preference Optimization (DPO) fine-tuning of the Meta Llama 3.1 8B model.
In this post, I'll share my experience designing and implementing a production image generation system across multiple cloud platforms, with a focus on the technical concepts that could be valuable for similar projects.
I recently undertook a project to fine-tune Stability AI's SDXL model for creating custom thumbnails in a specific visual style.