https://cameronrwolfe.substack.com/p/the-history-of-open-source-llms-better
- Value of Open-source LLM Research: Aims to democratize influential technology; despite initial struggles and criticism, open-source LLMs gained popularity and significance.
- Early Challenges: Initial open-source LLMs performed poorly and faced criticism, posing difficulties for advancement.
- Transformative Research Line: Focuses on enhancing open-source LLMs, leading to high-performing pre-trained models accessible to all.
- Significance of High-Performing Models: Creation of powerful, cost-effective pre-trained LLMs revolutionized research accessibility.
- Series Overview: Part two of a three-part series on open-source LLM history. The first part explored initial open-source LLM attempts.
- Study Focus: This overview delves into the most popular open-source base models, emphasizing pre-trained models not yet fine-tuned or aligned.
- Future Exploration: Subsequent installment will discuss fine-tuning and alignment of models for diverse practical applications.