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AInara is an AI-powered educational tool that generates various content formats (text, audiobooks, slideshows,images, etc.) tailored to specific learning needs. It offers a user-friendly interface for both individual and collaborative work. AInara ensures data privacy and leverages a vast educational corpus for accurate and safe content generation. It can adapt to different learning styles and languages, making it a versatile tool for educators and schools.
Understands the image and explains it in text without losing any details.
This is a Extractive Question Answering model from PyTorch Hub
SuperDesk is a powerful, AI-driven service desk solution designed to streamline support workflows, improve productivity, and enhance customer service. Leveraging Amazon Bedrock, Amazon SageMaker, or Databricks DBRX, SuperDesk seamlessly integrates with platforms like ServiceNow, Jira, Zendesk, Salesforce, and Hubspot. It automates incident management, supports knowledge-base augmentation, and provides personalized customer interactions. Deployed directly in your AWS account, SuperDesk ensures security and control over your data while delivering faster response times, reduced operational costs, and exceptional service experiences.
This is an easily deployable AMI for Code Llama 70B Instruct, which is an AI model built on top of Llama 2, fine-tuned for generating and discussing code. It is a large language model (LLM) that can use text prompts to generate and discuss code. It has the potential to make workflows faster and more efficient for developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software.
This model will generate lyrics for your next Billboard-topping single
Liquid LFM 40B is designed to handle complex tasks, offering an optimal balance between size and output quality.
Optimized for low-latency processing of long prompts, enabling fast analysis of lengthy documents and data.
This is a single-click deployment AMI for Orca 2 13B LLM, which is a fine-tuned version of Llama 2 that performs better than models that contain 10x the number of parameters. Orca 2 uses a synthetic training dataset and a new technique called Prompt Erasure to achieve this performance.
Command R 08-2024 is a generative language model optimized for large scale production workloads.
Introducing Palmyra-X-004: Our Flagship General-Purpose LLM Delivering Unparalleled Performance and Speed Across Diverse Applications.
Quantiphi’s AWS Gen AI advisory series is a 4-day offering designed to equip businesses with comprehensive knowledge and practical expertise in Generative AI. Through interactive sessions, expert-led discussions, and hands-on labs, this series empowers participants to identify and prioritize use cases based on their organization's requirements, incorporating AI into their business strategy with the support of AWS Gen AI services and Quantiphi's expertise. Join us on this immersive journey to embrace the full potential of Generative AI on AWS to drive growth and success unique to your business needs.
Claude is our most powerful model and excels at complex reasoning tasks such as sophisticated dialogue or detailed content creation.
Ninja is a multi-agent, multi-model AI assistant to increase productivity. Employees can automate content creation, image generation, and data analysis using advanced AI agents
Futran Solutions uses Generative AI to extract text and data from your documents, structuring them for analysis. Our service fine-tunes summary outputs and model performance to meet your specific business requirements.
Accelerate AI innovations with efficient, customizable, and reliable generative AI systems. OctoAI's highly optimized AI systems stack delivers market leading price and performance - delivering up to 12x savings versus proprietary models - without sacrificing speed or quality.
This is a Extractive Question Answering model from PyTorch Hub
VARCO LLM 2.0 is NCSOFT's large language model that can be applied to the development of natural language processing-based AI services.
Tailwinds is a platform designed to simplify the creation of Al-powered applications, Al agents, workflows, chatbots, and APls for SMBs and Startups.
Run AI Inference on your own server for coding support, creative writing, summarizing, ... without sharing data with other services. The Inference server has all you need to run state-of-the-art inference on GPU servers. Includes llama.cpp inference, latest CUDA and NVIDIA Docker container support. Support for llama-cpp-python, Open Interpreter, Tabby coding assistant.
The full-stack generative AI platform for enterprises.
This is a Extractive Question Answering model from PyTorch Hub
This large-scale GPT model, trained on Saltlux's extensive Korean language corpus, offers improved accuracy and reliability through incremental learning and optimized fine-tuning. This product is the quantized version of Luxia 2.5, providing faster and lighter performance while reducing hallucinations and enhancing Korean language understanding for enterprise-grade applications.
This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.10/hour.
PLaMo API server
This product has charges associated with it for support from the seller. Built on openSUSE Linux, this product provides private AI using the Gemma 3 model with 1 billion parameters. MultiCortex HPC (High-Performance Computing) allows you to boost your AI's response quality. This is a plug-and-play, low-cost product with no token fees.
A large-scale 32B GPT model trained on Saltlux's rich Korean corpus. Offers enhanced accuracy and reliability through advanced fine-tuning and continual learning, significantly reducing hallucinations and improving contextual understanding.
This is a Extractive Question Answering model from PyTorch Hub
Claude is our most powerful model and excels at complex reasoning tasks such as sophisticated dialogue or detailed content creation.
This is a single-click AMI package of DeepSeek-Coder-33B, which is among DeepSeek Coder series of large code language models, pre-trained on 2 trillion tokens of 87% code and 13% natural language text. DeepSeek Coder models are trained with a 16,000 token window size and an extra fill-in-the-blank task to enable project-level code completion and infilling. DeepSeek Coder achieves state-of-the-art performance on various code generation benchmarks compared to other open-source code models.