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Nebius AI Studio has recently enhanced its platform by introducing advanced vision-language models, expanding its language model portfolio, adding new embedding models, and offering LoRA hosting. The new vision models, such as Qwen2-VL-72B-Instruct and LLaVA-v1.5 series, enable applications to interpret and interact with visual content, facilitating tasks like image captioning and product recognition. The expanded language model offerings include Meta's Llama-3.3-70B-Instruct, supporting multiple languages and suitable for complex reasoning and multilingual scenarios, and dolphin-2.9.2-mixtral-8×22b, designed for conversational AI and coding tasks.
Additionally, Nebius AI Studio has included three embedding models—BGE-ICL, e5-mistral-7b-instruct, and bge-multilingual-gemma2—to enhance retrieval-augmented generation pipelines, aiding in building knowledge bases and semantic search engines. The platform now offers LoRA hosting with a usage-based pricing model, eliminating fixed costs and infrastructure management, which simplifies the deployment of fine-tuned models. These updates are designed to provide scalable, versatile AI tools that cater to diverse application needs, ensuring seamless performance from prototype to production…..
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🚨 [Worth Reading] Nebius AI Studio expands with vision models, new language models, embeddings and LoRA (Promoted)
