Prompt Tuning with PEFT: A Fast and Cost-Effective effective training mechanism
11:26
LLM Observability Using Phoenix, Cohere, HuggingFace & Langchain
15:35
Fine-tuning LLMs with PEFT and LoRA
28:13
Prompt Optimization and Parameter Efficient Fine Tuning
9:19
Easily Build Prompt Tuning & Prefix Tuning for LLMs: Soft Prompt Engineering Beats Fine Tuning
28:18
Fine-tuning Large Language Models (LLMs) | w/ Example Code
12:52
Removing Stop Words and Special Characters with Code and Example in NLP | NLP Preprocessing in hindi
32:53
Scalable Inference: Deploying Ray Serve with Kubernetes in Production
8:33