{"categories":["Databricks_EN","Databricks","DAIS2024"],"url":"https://techblog.ap-com.co.jp/entry/2024/06/15/103251","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftechblog.ap-com.co.jp%2Fentry%2F2024%2F06%2F15%2F103251\" title=\"LLMs in Production: Fine-Tuning, Scaling, and Evaluation - APC \u6280\u8853\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","version":"1.0","blog_url":"https://techblog.ap-com.co.jp/","blog_title":"APC \u6280\u8853\u30d6\u30ed\u30b0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/apc_watanabe/20240607/20240607105046.png","title":"LLMs in Production: Fine-Tuning, Scaling, and Evaluation","width":"100%","author_url":"https://blog.hatena.ne.jp/ywchen/","height":"190","type":"rich","description":"Preface In the highly competitive market of today, businesses increasingly rely on Large Language Models (LLMs) to enhance various aspects of their operations. This session focuses on fine-tuning LLMs to meet specific business needs and applications, providing valuable insights for those involved in\u2026","author_name":"ywchen","provider_url":"https://hatena.blog","published":"2024-06-15 10:32:51"}