4.3 out of 5 stars
(1178 Ratings)
Gemini platform is a comprehensive AI development, machine learning, and agent orchestration platform designed to help organizations build and operate intelligent applications at enterprise scale. Developed by Google Cloud as the evolution of Vertex AI, the platform combines foundation model access, autonomous agent development, custom model training, and production deployment infrastructure. Model Garden provides access to more than 200 AI models, including Google's Gemini family, third-party models, and open-source alternatives that developers can evaluate and customize. Agent Studio offers a low-code development environment for designing AI agents, experimenting with prompts, and testing model behavior through a visual interface. The Agent Development Kit enables developers to build sophisticated agents with tool calling, complex reasoning, and multi-agent orchestration capabilities. Google Antigravity provides an agent-powered development environment for coordinating software engineering tasks and automating application development workflows. Machine learning capabilities include custom training, hyperparameter tuning, automated pipelines, model registries, feature management, and monitoring for model performance and drift. Enterprise governance tools provide agent identity management, centralized registration, access controls, security policies, and observability across deployed AI systems. Gemini platform integrates with BigQuery, Google Cloud services, development frameworks, and enterprise applications to support predictive analytics, generative AI, software development, and business process automation.
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5.0 out of 5 stars
(4 Ratings)
Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe.
Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint.
Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.
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OpenPipe
OpenPipe offers an efficient platform for developers to fine-tune their models. It allows you to keep your datasets, models, and evaluations organized in a single location. You can train new models effortlessly with just a click. The system automatically logs all LLM requests and responses for easy reference. You can create datasets from the data you've captured, and even train multiple base models using the same dataset simultaneously. Our managed endpoints are designed to handle millions of requests seamlessly. Additionally, you can write evaluations and compare the outputs of different models side by side for better insights. A few simple lines of code can get you started; just swap out your Python or Javascript OpenAI SDK with an OpenPipe API key. Enhance the searchability of your data by using custom tags. Notably, smaller specialized models are significantly cheaper to operate compared to large multipurpose LLMs. Transitioning from prompts to models can be achieved in minutes instead of weeks. Our fine-tuned Mistral and Llama 2 models routinely exceed the performance of GPT-4-1106-Turbo, while also being more cost-effective. With a commitment to open-source, we provide access to many of the base models we utilize. When you fine-tune Mistral and Llama 2, you maintain ownership of your weights and can download them whenever needed. Embrace the future of model training and deployment with OpenPipe's comprehensive tools and features.
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Helix AI
Develop and enhance AI for text and images tailored to your specific requirements by training, fine-tuning, and generating content from your own datasets. We leverage top-tier open-source models for both image and language generation, and with LoRA fine-tuning, these models can be trained within minutes. You have the option to share your session via a link or create your own bot for added functionality. Additionally, you can deploy your solution on entirely private infrastructure if desired. By signing up for a free account today, you can immediately start interacting with open-source language models and generate images using Stable Diffusion XL. Fine-tuning your model with your personal text or image data is straightforward, requiring just a simple drag-and-drop feature and taking only 3 to 10 minutes. Once fine-tuned, you can engage with and produce images from these customized models instantly, all within a user-friendly chat interface. The possibilities for creativity and innovation are endless with this powerful tool at your disposal.
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