[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @FireworksAI_HQ Fireworks AI Fireworks AI posts on X about momentum the most. They currently have XXXXXX followers and XXX posts still getting attention that total X engagements in the last XX hours. ### Engagements: X [#](/creator/twitter::1575886662957047812/interactions)  - X Week XXXXX -XX% - X Month XXXXXX +6,408% - X Months XXXXXXX +0.19% - X Year XXXXXXX -XX% ### Mentions: X [#](/creator/twitter::1575886662957047812/posts_active)  - X Week X no change - X Month XX +167% - X Months XX +14% - X Year XX +60% ### Followers: XXXXXX [#](/creator/twitter::1575886662957047812/followers)  - X Week XXXXXX +0.15% - X Month XXXXXX +0.59% - X Months XXXXXX +16% - X Year XXXXXX +63% ### CreatorRank: undefined [#](/creator/twitter::1575886662957047812/influencer_rank)  ### Social Influence [#](/creator/twitter::1575886662957047812/influence) --- **Social category influence** [stocks](/list/stocks) [technology brands](/list/technology-brands) **Social topic influence** [momentum](/topic/momentum) ### Top Social Posts [#](/creator/twitter::1575886662957047812/posts) --- Top posts by engagements in the last XX hours "Fine-tuning has quietly become one of the most important levers in making large language models enterprise-ready. While base models like Kimi K2 Qwen X or DeepSeek v3 show remarkable generalization they often fall short when precision compliance or verifiable outputs are non-negotiable. Thats where fine-tuning steps in to bridge the gap between broad capability and domain-specific reliability. In our latest Fireworks AI deep-dive we explore what fine-tuning really means and how it differs from pre-training when it makes sense to fine-tune instead of relying on RAG or prompt engineering and" [X Link](https://x.com/FireworksAI_HQ/status/1976787296570728641) [@FireworksAI_HQ](/creator/x/FireworksAI_HQ) 2025-10-10T23:09Z 10.5K followers, XXX engagements "Fine-tuning has quietly become one of the most important levers in making large language models enterprise-ready. While base models like Kimi K2 Qwen X or DeepSeek v3 show remarkable generalization they often fall short when precision compliance or verifiable outputs are non-negotiable. Thats where fine-tuning steps in to bridge the gap between broad capability and domain-specific reliability. In our latest Fireworks AI deep-dive we explore what fine-tuning really means and how it differs from pre-training when it makes sense to fine-tune instead of relying on RAG or prompt engineering and" [X Link](https://x.com/FireworksAI_HQ/status/1976805301656650216) [@FireworksAI_HQ](/creator/x/FireworksAI_HQ) 2025-10-11T00:21Z 10.5K followers, XXX engagements "Who else is excited to hear Fireworks CEO @lqiao speak at @amd #AIDevDay Join us and explore community-driven AI innovation hands-on learning and experience the incredible momentum building across open-source AI. Oct XX San Francisco Dont miss the action l Register Here:" [X Link](https://x.com/FireworksAI_HQ/status/1979217953251037635) [@FireworksAI_HQ](/creator/x/FireworksAI_HQ) 2025-10-17T16:08Z 10.5K followers, XXX engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Fireworks AI posts on X about momentum the most. They currently have XXXXXX followers and XXX posts still getting attention that total X engagements in the last XX hours.
Social category influence stocks technology brands
Social topic influence momentum
Top posts by engagements in the last XX hours
"Fine-tuning has quietly become one of the most important levers in making large language models enterprise-ready. While base models like Kimi K2 Qwen X or DeepSeek v3 show remarkable generalization they often fall short when precision compliance or verifiable outputs are non-negotiable. Thats where fine-tuning steps in to bridge the gap between broad capability and domain-specific reliability. In our latest Fireworks AI deep-dive we explore what fine-tuning really means and how it differs from pre-training when it makes sense to fine-tune instead of relying on RAG or prompt engineering and"
X Link @FireworksAI_HQ 2025-10-10T23:09Z 10.5K followers, XXX engagements
"Fine-tuning has quietly become one of the most important levers in making large language models enterprise-ready. While base models like Kimi K2 Qwen X or DeepSeek v3 show remarkable generalization they often fall short when precision compliance or verifiable outputs are non-negotiable. Thats where fine-tuning steps in to bridge the gap between broad capability and domain-specific reliability. In our latest Fireworks AI deep-dive we explore what fine-tuning really means and how it differs from pre-training when it makes sense to fine-tune instead of relying on RAG or prompt engineering and"
X Link @FireworksAI_HQ 2025-10-11T00:21Z 10.5K followers, XXX engagements
"Who else is excited to hear Fireworks CEO @lqiao speak at @amd #AIDevDay Join us and explore community-driven AI innovation hands-on learning and experience the incredible momentum building across open-source AI. Oct XX San Francisco Dont miss the action l Register Here:"
X Link @FireworksAI_HQ 2025-10-17T16:08Z 10.5K followers, XXX engagements
/creator/twitter::FireworksAI_HQ