LLM-GenAI-Transformers-Notebooks and foundations-of-gen-ai

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 2/25
Adoption 9/25
Maturity 8/25
Community 23/25
Stars: 135
Forks: 27
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 103
Forks: 67
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About LLM-GenAI-Transformers-Notebooks

avikumart/LLM-GenAI-Transformers-Notebooks

An repository containing all the LLM notebooks with tutorial and projects

This collection of notebooks helps engineers and data scientists build and deploy powerful AI language models. It takes you from understanding core concepts and fine-tuning models with your specific data to deploying them as applications and monitoring their performance. Anyone looking to integrate advanced AI text generation and understanding into their systems would find this useful.

LLM development Generative AI engineering Model fine-tuning AI application deployment Machine learning operations

About foundations-of-gen-ai

sinanuozdemir/foundations-of-gen-ai

Transformer Architectures for Generative AI

This course material helps AI practitioners and researchers understand and apply advanced transformer architectures. It takes you from foundational concepts of large language models (LLMs) and vision transformers to practical applications like fine-tuning models for specific tasks. You'll gain hands-on experience in areas such as app review classification, image search, and building conversational AI bots.

natural-language-processing computer-vision conversational-ai generative-ai machine-learning-engineering

Scores updated daily from GitHub, PyPI, and npm data. How scores work