# Model Inference

Genie Studio is a one-stop development platform specifically designed by Zhiyuan Robotics for embodied AI scenarios, with full-chain product capabilities covering data acquisition, model training, simulation evaluation, and model inference. It provides developers with a standardized solution from 'acquisition' to 'training' to 'testing' to 'inference', greatly reducing the development threshold and improving development efficiency. The platform promotes the rapid development and application of embodied AI technology through efficient data acquisition, flexible model training, precise simulation evaluation, and seamless model inference. Genie Studio not only provides powerful tools but also supports the large-scale implementation of embodied AI, accelerating the industry's leap to a new stage of standardization, platformization, and mass production.

Patronus GLIDER is a fine-tuned phi-3.5-mini-instruct model that serves as a general evaluation tool, judging text, dialogue, and RAG settings according to user-defined standards and scoring rules. Trained on synthetic and domain-adaptive data, it encompasses 183 metrics and 685 domains, including finance and medicine. The model supports a maximum sequence length of 8192 tokens, but tests have shown it can handle longer texts (up to 12000 tokens).

Recursal AI is dedicated to making AI technology accessible to everyone, regardless of language or country. Their products include featherless.ai, RWKV, and recursal cloud. Featherless.ai offers instant, serverless Hugging Face model inference services; RWKV is a next-generation foundational model that supports over 100 languages, cutting inference costs by 100 times; recursal cloud allows users to easily fine-tune and deploy the RWKV model. The main advantages of these products and technologies are their ability to lower the barriers to AI technology, enhance efficiency, and support multilingualism, which is crucial for enterprises and developers in a global context.

Cog inference for flux models is an inference engine for FLUX.1 [schnell] and FLUX.1 [dev] models, developed by Black Forest Labs. It supports compilation and quantization, sensitive content checks, and img2img support, aimed at enhancing the performance and safety of image generation models.

DeepSeek-Coder-V2 is an open-source expert mixture model (MoE) specifically designed for code language. Its performance is comparable to GPT4-Turbo. It excels in code-specific tasks while maintaining strong performance in general language tasks. Compared to DeepSeek-Coder-33B, the V2 version demonstrates significant improvements in code-related tasks and reasoning capabilities. Furthermore, it expands its supported programming languages from 86 to 338 and increases the context length from 16K to 128K.

Volcano Ark provides comprehensive functions and services for model training, inference, evaluation, and fine-tuning, and focuses on supporting the large model ecosystem. Curated models ensure model stability, a rich platform of applications and tools, information security, powerful computing capabilities, and professional services. Key functions include Model Marketplace, Model Experience, Model Training & Inference, and Model Applications. Suitable for application scenarios in industries such as automobiles, finance, consumer goods, the broad internet, and education & office.