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Generative AI: Comparing DSF and RAG Techniques

Agenda

Generative AI: Optimizing Natural Language Interfaces

In the realm of digital innovation, effective data use through generative AI is not just an advantage but a necessity. Businesses are continually seeking innovative solutions to enhance their operations. This technology is transformative, but how can it be best utilized to optimize natural language interfaces across various sectors?

Join us for an in-depth exploration of the advanced methodologies that are setting new standards in AI applications: Domain-Specific Fine tuning (DSF) and Retriever-Augmented Generation (RAG). Throughout the webinar, we will engage in a thorough discussion on the nuances of both DSF and RAG. Learn about the practical implications of these technologies through real-world examples and case studies that demonstrate their significant impact on business efficiency and responsiveness. Additionally, we will delve into the RAFT technique, a pivotal development that prepares your large language models (LLMs) for more robust, open-book operations.

 

What you will learn:

  • Overview of Generative AI Applications: Introduction to how generative AI is being integrated into sectors like banking, legal, and medical to streamline operations and improve service delivery.
  • Exploring DSF and RAG: Detailed examination of the two primary methods for implementing generative AI, focusing on their functions, benefits, and optimal use cases.
  • Latest Advances in AI Technology: Insight into cutting-edge techniques such as RAFT and comparisons of Llama2-7B with state-of-the-art models like GPT-4.
Tianjun Zhang
Tianjun Zhang

PhD Student at Berkeley RISE Lab

Tianjun Zhang is a final-year PhD student at UC Berkeley, closely affiliated with both Sky Lab and Berkeley Artificial Intelligence Research (BAIR) Lab. His research focuses on the training and safe deployment of autonomous foundation model agents. Tianjun leads several notable open-source projects, including Gorilla LLM, RAFT, and LiveCodeBench, which are widely utilized by developers and have been featured by prominent companies such as OpenAI, Cohere, and Replit. He collaborates with esteemed professors Ion Stoica, Joseph Gonzalez, Peter Abbeel, and Sergey Levine.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!