Alternatives to Build a Large Language Model (From Scratch)
Explore more resources beyond building large language models from scratch with Manning’s tools. Consider evaluating LLM outputs using How to Evaluate Large Language Model Outputs, diving into cutting-edge research with Open Challenges in LLM Research, or understanding the broader impact of LLMs on science and society through Stanford's insights. For a deeper technical analysis, Attacking Large Language Models offers unique perspectives. Lastly, discover the top large language models in 2023 via MarkTechPost’s directory.
Explore the impact of LLMs on science and society.
Offers insights into LLM impacts across science and society, contrasting with hands-on development.
Tool for evaluating LLM outputs.
Offers guidelines and criteria for assessing large language model outputs, aiding developers in evaluation without requiring model creation.
Explore cutting-edge research in large language models.
Open Challenges offers curated research tasks and datasets for developing large language models, complementing hands-on model building.
Tool for analyzing large language models.
Attacking Large Language Models focuses on security assessments for LLMs, offering developers tools to test and improve model robustness.
Python framework for building AI applications with LLMs.
Marvin offers a user-friendly interface for building and deploying AI assistants, differing in its focus on simplicity over from-scratch mod