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Fine-Tuning

Fine-Tuning news tracks updates, releases, guides, and real uses for teams. We explain ideas in plain terms and show steps. you can apply. Follow tests, results, and simple tips. Learn trade-offs, quick fixes, and ways to pick tools that fit your needs.

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Haystack 2.0 release refines open-source RAG building
Nov 2, 20256 min read

Haystack 2.0 release refines open-source RAG building

Deepset has released the Haystack 2.0 release, a major update to the open-aistory.news framework for retrieval-augmented generation that targets faster iteration, simpler orchestration, and broader ecosystem support. The overhaul focuses on modular pipelines, improved evaluation, and streamlined integrations with common vector databases and inference backends. Haystack 2.0 release: what’s new Moreover, The core change centers […]

#Amazon AI#Fine-Tuning#Hugging Face
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Ollama Windows release headlines open-source AI updates
Nov 1, 20256 min read

Ollama Windows release headlines open-source AI updates

Ollama Windows release entered public preview, anchoring a new wave of open-aistory.news AI updates across local inference, audio generation, and serving stacks. Developers can now test popular models on Windows with fewer setup hurdles, while adjacent tools push speed and portability forward. Moreover, The momentum matters for teams that want privacy, predictable costs, and offline […]

#Amazon AI#Fine-Tuning#Hugging Face
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OpenELM release anchors latest open-source AI momentum
Oct 28, 20256 min read

OpenELM release anchors latest open-source AI momentum

OpenELM release headlines the latest open-aistory.news AI updates as developers double down on transparent training, practical licensing, and faster inference. Communities continue to refine governance, while model hubs roll out clearer standards and documentation. Together, these shifts make open AI easier to adopt and safer to deploy. OpenELM release impact Moreover, Apple’s OpenELM models have […]

#Amazon AI#Fine-Tuning#Hugging Face
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Unsloth Blackwell training slashes VRAM and speeds LLMs
Oct 23, 20255 min read

Unsloth Blackwell training slashes VRAM and speeds LLMs

NVIDIA and the open-source Unsloth project outlined a faster path to local LLM development on Blackwell GPUs, marking a practical leap for accessible AI. The announcement centers on Unsloth Blackwell training, which now brings 2x throughput and 70% less VRAM use without accuracy loss. Unsloth Blackwell training: what’s new Moreover, Unsloth is an open-source framework […]

#Amazon AI#Fine-Tuning#Hugging Face
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