Function Calling Datasets, Training and Inference

➡️ Trelis Function-calling Models and Scripts: https://trelis.com/function-calling/
➡️ ADVANCED-inference Repo: https://trelis.com/enterprise-server-api-and-inference-guide/
➡️ ADVANCED-fine-tuning Repo: https://trelis.com/advanced-fine-tuning-scripts/
➡️ ADVANCED Vision Fine-tuning Repo: https://trelis.com/advanced-vision/
➡️ ADVANCED Transcription Repo: https://trelis.com/advanced-transcription/
➡️ One-click Fine-tuning & Inference Templates: https://github.com/TrelisResearch/one-click-llms/
➡️ Trelis Newsletter: https://Trelis.Substack.com
➡️ Tip Jar and Discord: https://ko-fi.com/trelisresearch

Affiliate Links (support the channel):
- Vast AI - https://cloud.vast.ai/?ref_id=98762
- RunPod - https://tinyurl.com/4b6ecbbn

Chapters:
0:00 The power of function calling LLMs
0:56 Video Overview
2:45 What are function calling models?
6:45 Function calling fine-tuning datasets
11:52 Training an LLM for function calling
37:49 Inferencing function calling LLMs
41:04 OpenAI Function calling
47:15 Inferencing function calling Llama 7B
1:00:29 Inferencing OpenChat 7B
1:04:27 Inferencing DeepSeek 67B
1:08:55 Function calling EN ESPANOL
1:14:27 Choosing a function calling model