Hellow guys, Welcome to my website, and you are watching Fine-tuning ChatGPT with OpenAI Tutorial - [Customize a model for your application in 12 Minutes]. and this vIdeo is uploaded by Corbin Brown at 2024-03-05T10:00:22-08:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | Fine-tuning ChatGPT with OpenAI Tutorial - [Customize a model for your application in 12 Minutes] |
| Video Uploader | Video From Corbin Brown |
| Upload Date | This Video Uploaded At 05-03-2024 18:00:22 |
| Video Discription | Let's learn about fine-tuning OpenAI's models, such as ChatGPT, enhances their performance by training on a specific dataset tailored to your needs. This process yields higher quality outputs, requires fewer tokens for prompts, and decreases response times by reducing the need for extensive examples within prompts. It involves preparing a custom dataset, training a new model based on this data, evaluating its effectiveness, and iteratively improving until satisfactory results are achieved, ultimately allowing for more efficient and tailored use of the model in various applications. SUBSCRIBE for more! 👉 http://bit.ly/3zlUmiS 👈 Fine-tuning OpenAI Documentation Learn how to customize a model for your application. https://platform.openai.com/docs/guides/fine-tuning/fine-tuning Data preparation and analysis for chat model fine-tuning https://cookbook.openai.com/examples/chat_finetuning_data_prep automate everything. 👇 https://linktr.ee/webcafe Corbin AI Newsletter [FREE] ☕ https://aitraining.webcafeai.com/joinus Key Takeaways: ✩ Enhanced Model Performance: Fine-tuning improves the model's ability to generate high-quality results specific to your application, outperforming standard few-shot learning techniques. ✩ Efficiency and Cost Savings: By reducing the need for lengthy prompts, fine-tuning leads to token savings and faster response times, making the model more economical and efficient to use. ✩ Iterative Improvement Process: The fine-tuning process is iterative, involving preparation of training data, model training, and evaluation, allowing for continuous improvement of the model's performance. ------------------------------------------------- ➤ Follow @webcafeai • 🐦 Twitter: https://twitter.com/webcafeai • 🏂 TikTok: https://www.tiktok.com/@webcafeai • 🦙 Instagram: https://www.instagram.com/webcafeai ------------------------------------------------- ▼ Extra Links of Interest: 🤖 AI Courses https://aitraining.webcafeai.com/store 🎧 Listen to Bräunlich https://soundcloud.com/braunlich 💰 Earn 50% Commission on Webcafe Software: https://webcafesoftware.bixgrow.com/register 💬 AI Automation Workshop [FREE] https://aitraining.webcafeai.com/Free-Workshop My name is Corbin, an AI developer entrepreneur behind the vision of Webcafe AI. Together we will build digital ecosystems. Let's create a system that requires no additional employees or contractors; instead, we will leverage AI and software. ☕ |
| Category | Education |
| Tags | chatgpt | zapier | openai | ai automation | gpt tutorials | chatgpt education | ai for business | ai service | zapier tutorials | software business | entrepreneur | start a business | passive income |
