April 4, 2024, 2:50 p.m. | Ben Lorica

Gradient Flow gradientflow.com

The deeper I explore Generative AI (GenAI) and Large Language Models (LLMs), the more I confront the complexities of integrating custom data to improve their performance. Whether it’s through fine-tuning or building retrieval augmented generation (RAG) systems, the success of these applications hinges on our ability to harness the power of unstructured data locked awayContinue reading "Is Your Data Strategy Ready for Generative AI?"


The post Is Your Data Strategy Ready for Generative AI? appeared first on Gradient Flow …

applications building complexities data data strategy explore fine-tuning genai generative harness language language models large language large language models llms performance power rag retrieval retrieval augmented generation strategy success systems through unstructured

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York