成人VR视频

Leann Blanchfield, head of Editorial, 成人VR视频, said now is the most exciting time in her 30+ years with the company.

In the latest , Blanchfield shared how the power of generative AI 鈥� and the dramatic leap it鈥檚 making in how professionals across industries can access large quantities of data 鈥� is transforming the legal industry and beyond. Blanchfield credits the more than 1,500 attorney editors on her team, who create and enhance content, with harnessing the power of generative AI for legal research.

Human expertise is just one component of how 成人VR视频 is capitalizing on the potential of generative AI. Three elements are critical, as David Wong, chief product officer, 成人VR视频, noted in his comments about the launch of CoCounsel 2.0 at ILTACON: 鈥淲e have the data, the expertise, and the tech. Few have all three in such quantity and depth.鈥�

In the new , Wong focused on the role of human domain experts, noting they鈥檙e key to the process of creating and validating data used by AI models for professional research.

鈥淭here’s a lot of both prompt engineering, fine tuning, and system refinement that’s necessary to get quality to a usable spot,鈥� Wong said. 鈥淓xperts, experienced researchers and experienced lawyers can help to gauge whether or not the systems are correct. We couldn’t have an objective, quantified measure of quality on these systems without the editors, without those experts.鈥�

Wong and Blanchfield discussed the importance of human experts in ensuring the accuracy and reliability of AI.

鈥淢aintaining accuracy is at the heart of what the editorial team does,鈥� Blanchfield said. 鈥淚t鈥檚 the number-one priority across every editorial team. We maintain our content to be accurate and trusted.鈥�

Wong acknowledged it鈥檚 challenging for the team to process and update unstructured, constantly changing data in real time. He said that 成人VR视频 ensures that its AI models are customized and meeting the varying needs of various jurisdictions through a combination of software and algorithms that take advantage of the LLMs.

鈥淪o when you ask a question of , for example, we are running an end-to-end algorithm which runs search, retrieves data, re-ranks, interprets and then ultimately passes that information to a large language model to synthesize and produce the answer,鈥� Wong said. 鈥淚t’s a very complicated system which involves multiple types of technology, multiple types of information retrieval.聽Processing unstructured, dynamic data and customizing AI models requires integrating multiple technologies and algorithms to optimize performance.鈥�

Hear more of Wong and Blanchfield鈥檚 insights on integrating AI into professional tools and ensuring that information is trustworthy in the of the TechConnect series, which brings diverse and dynamic perspectives from all corners of the technology world with thought-provoking questions and conversation.