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Designing High-Quality Synthetic Data for Training & Fine-tuning LLMs

八月 8, 2024 | 5:00 - 6:00 下午 (UTC) 协调世界时

准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!

Designing High-Quality Synthetic Data for Training & Fine-tuning LLMs

八月 8, 2024 | 5:00 - 6:00 下午 (UTC) 协调世界时

准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!

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Designing High-Quality Synthetic Data for Training & Fine-tuning LLMs

八月 8, 2024 | 5:00 - 6:00 下午 (UTC) 协调世界时

  • 形式:
  • alt##Livestream直播

主题: 核心 AI

语言: 英语

At this critical juncture in AI development, we face a scarcity of novel, high-quality data for training and fine-tuning large language models (LLMs). This shortage poses significant challenges for organizations aiming to enhance model performance or adapt them to specialized domains. In this hour-long livestream, Ali Golshan, CEO and co-founder of Gretel, will showcase the company's innovative solution to this bottleneck. Gretel Navigator, a compound, agent-based AI system, leverages multiple language models to generate high-quality synthetic data suitable for fine-tuning LLMs. Join us for an insightful interview, live demonstration, and interactive Q&A session exploring how Gretel's technology is addressing the growing demand for AI-ready data for model customization and performance improvement.

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