Quantization For Llm

Unlock advanced techniques for fine-tuning, scaling, and optimizing LLMs to enhance AI capabilities

A General Introduction and Overview of LLM Model Quantization Techniques and Practices

Master Transformer models like Phi2, LLAMA; BERT variants, and distillation for advanced NLP applications on custom data

Master Transformer models like Phi2, LLAMA; BERT variants, and distillation for advanced NLP applications on custom data

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Deployment, Generative AI, LLMs, GPT4, ML-Ops, LoRa, AVQ, Ray, RabbitMQ, Flash Paged Attention

Role Prompting, Few-Shot Prompting, Hallucination, Iterative Prompting, Structure, Summarization, Inference, Expanding

How to train Open Source LLMs with LoRA QLoRA, DPO and ORPO.