Alternatives à Build a Large Language Model (From Scratch)
If you're looking to build a large language model (LLM) from scratch, there are several alternatives that can complement or replace Manning’s resources. For a deeper dive into the analysis of LLMs, consider 'Attacking Large Language Models' which focuses on their vulnerabilities. Alternatively, 'How Large Language Models Will Transform Science, Society, and AI' offers insights into the broader impact of LLMs. For a historical perspective, 'Timeline of AI and Language Models' provides a detailed evolution of the field. To stay updated on the current landscape, 'Top Large Language Models (LLMs) in 2023 | MarkTechPost' is a comprehensive directory. Lastly, 'How to Evaluate Large Language Model Outputs' is useful for assessing the quality of LLM outputs.
Towards Data Science provides insights on data science and AI.
Despite Their Feats offers resources and discussions for linguists, focusing on community and education rather than model development.
Tool for analyzing large language models.
Attacking Large Language Models focuses on security aspects and vulnerabilities of LLMs, whereas the main tool aids in building them from sc
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.
Explore the impact of LLMs on science and society.
Offers insights and articles on large language models, complementing hands-on development with theoretical knowledge.
Python framework for building AI applications with LLMs.
Marvin offers a user-friendly interface for building and deploying AI assistants, differing in its freemium pricing model and ease of use co