PickAClass · AI, Tech & Engineering · Generative AI & Deep Learning

Fine-Tuning Language Models

Go beyond prompting by learning to fine-tune pre-trained language models on custom datasets. Adapt models like GPT, Llama, and BERT for specific domains and tasks to improve performance and accuracy.

Fine-Tuning Language Models

AI Model Alignment: Training Neural Networks with RLHF and DPO

Understanding Large Language Model Architectures and Scaling

LLM Fine-Tuning Fundamentals: Customize Your Own AI Models

Fine-Tuning and Adapting Foundation Models

Getting Started with Llama 3 and Hugging Face

Building Code Generation LLMs: Data Strategy and Training

VideoBERT Explained: Pre-Training and Multimodal AI Alignment

Building Question Answering Systems with Fine-Tuned BERT

Large Language Models: Scaling, Reasoning, and Efficiency

Building a Language Model from Scratch

Pre-Training Language Models from Scratch: Pipeline and Cost Insights

LLM Fine-Tuning with QLoRA: Memory-Efficient Model Customization

Fine-Tuning Large Language Models: Supervised, Instruction, and RLHF

Tuning XGBoost Learning Rate for Optimal Performance

Mitigating LLM Failure Modes in Production

Positional Encodings and Layer Normalization in LLMs

LangChainGo for Go Developers: Integrating LLMs and Embeddings

Elo Rating Systems for LLM Evaluation

Customizing spaCy NLP Models

Custom TF Lite Models with Model Maker

Large Language Model Pretraining: Foundations of Scaling and Data Curation

ResNet Image Classification with Flax and JAX

LLM Alignment: Training Raw Text Models into Helpful AI Assistants

Model-Based LLM Evaluation with BERTScore and G-Eval