Model Serving

View the output from multiple AI models side-by-side. Leverage the information from many AIs, or pick the one that fits your needs best. Get a more balanced perspective and spot "hallucinations" easily by comparing the output of multiple models.

Infrastructure and tools for deploying and scaling AI models in production environments.

An Enterprise-Grade, Open Source framework, Eidolon enables developers to rapidly build and deploy the most powerful genAI applications.

At Floppydata, we’re a real team of industry experts, digital pioneers and professionals with various past experience in online security field. We have brought together real world experts from various EU and United States locations, specializing in network tech, cybersecurity, SaaS services, modern lead gen and customer service – all driven by a shared passion for universalizing internet access for everyone. We work to ensure that our services reflect our values of integrity, innovation, and excellence.

Groq is the AI inference platform delivering low cost, high performance without compromise. Its custom LPU and cloud infrastructure run today’s most powerful open AI models instantly and reliably. Over 1 million developers use Groq to build fast and scale with confidence.

LlamaCloud is a managed platform for data parsing and ingestion, allowing you to get production-quality data for your production LLM application. LlamaCloud integrates seamlessly with the open-source library, providing parsing, indexes, and retrievers to build advanced RAG, agents, and more. LlamaCloud consists of the following main components: LlamaParse: our self-serve document parsing API Ingestion and Retrieval API: Connect to 10+ data sources and sinks. Easily setup a data pipeline that can handle large volumes of data and incremental updates. Get back an endpoint with state-of-the-art indexing/retrieval to solve your complex document needs. Evaluations and Observability: Run and track evaluations on your data and model, both in the cloud and locally.

Your local AI toolkit. Download and run Llama, DeepSeek, Qwen, Phi on your computer.

Get up and running with large language models.

Building embedding/vectorization models, customized for your domain and company, for better retrieval quality. We introduce VOYAGER, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. VOYAGER consists of three key components: 1) an automatic curriculum that maximizes exploration, 2) an ever-growing skill library of executable code for storing and retrieving complex behaviors, and 3) a new iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement. VOYAGER interacts with GPT-4 via blackbox queries, which bypasses the need for model parameter fine-tuning. The skills developed by VOYAGER are temporally extended, interpretable, and compositional, which compounds the agent’s abilities rapidly and alleviates catastrophic forgetting. Empirically, VOYAGER shows strong in-context lifelong learning capability and exhibits exceptional proficiency in playing Minecraft. It obtains 3.3× more unique items, travels 2.3× longer distances, and unlocks key tech tree milestones up to 15.3× faster than prior SOTA. VOYAGER is able to utilize the learned skill library in a new Minecraft world to solve novel tasks from scratch, while other techniques struggle to generalize.