# Upstage — Solar LLM with Predibase: The best LLM for fine-tuning that beats GPT-4

- Company: Upstage (upstage.ai)
- Announced: 2024-06-18
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.upstage.ai/blog/en/solar-llm-with-predibase-the-best-llm-for-fine-tuning
- Record: https://forck.live/items/18481-solar-llm-with-predibase-the-best-llm-for-fine-tuning-that-beats-gpt-4
- Subject: Solar Pro / Solar Mini

For organizations with domain-specific data and use cases, fine-tuning is one of the most performant and cost-effective ways to tailor LLMs for production applications. Through fine-tuning small LLMs for specific use cases, teams can achieve performance that surpasses that of massive general models (e.g. GPT-4) for use cases such as However, not all LLMs are equally efficient for fine-tuning. Some models are more suitable for fine-tuning than others because each model was developed with different design philosophies (e.g., a model designed to be good with broad, general use cases vs. a model designed to be customized for specific applications). Predibase is the fastest and most efficient way to fine-tune and serve task-specific LLMs and has deep experience fine-tuning an extensive collection of open-source LLMs and small proprietary LLMs that are ideal for fine-tuning. Upstage and Predibase worked together to discover a faster and more efficient way to fine-tune and serve task-specific LLMs. …

---

Record: https://forck.live/items/18481-solar-llm-with-predibase-the-best-llm-for-fine-tuning-that-beats-gpt-4
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md