Youtor
Finetuning OpenAIs GPT 35 for LangChain Agents
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=boHXgQ5eQic
Fine-tuning for GPT-3.5 turbo is finally here! The latest update gives OpenAI users the ability to create their own custom GPT-3.5 model that has been tuned towards a particular dataset. • This feature means we can teach GPT-3.5 the language and terminology of our niche domain (like finance or tech), reply in Italian, or always respond with JSON. Fine-tuning represents one of the many ways that we can take our LLMs to the next level of performance. • In the past, we'd need to spend hours or even days tweaking prompts to get the behavior we need just to see it work at best 80% of the time. Now, we can gather examples of our ideal conversations and feed that to GPT-3.5 directly, acting as built-in guidelines — replacing that frustrating prompt engineering process and in most cases producing much better results. • In this video, we'll explore how to fine-tune our own LLMs with OpenAI's GPT 3.5 turbo. • 📕 Article: • https://www.pinecone.io/learn/fine-tu... • 📌 Code: • https://github.com/pinecone-io/exampl... • 🌲 Subscribe for Latest Articles and Videos: • https://www.pinecone.io/newsletter-si... • 👋🏼 AI Consulting: • https://aurelio.ai • 👾 Discord: • / discord • Twitter: / jamescalam • LinkedIn: / jamescalam • 00:00 Fine-tuning GPT 3.5 Turbo • 01:44 Downloading the Training Data • 02:57 Why Fine-tune an Agent • 04:19 Training Data Format • 06:10 Running OpenAI Fine-Tuning • 09:04 Using Fine-Tuned GPT 3.5 in LangChain • 11:01 Chatting with the Fine-Tuned Agent
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