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

8月 8, 2024 | 5:00 - 6:00 下午 (UTC) 國際標準時間

準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!

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

8月 8, 2024 | 5:00 - 6:00 下午 (UTC) 國際標準時間

準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!

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

8月 8, 2024 | 5:00 - 6:00 下午 (UTC) 國際標準時間

  • 格式:
  • alt##Livestream線上直播

主題: 核心 AI

語言: 英文

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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