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OpenLIT is an open-source observability platform designed for GenAI and LLMs, enabling seamless integration for real-time monitoring and analytics.
LLMWizard is a platform offering free access to over 15 powerful AI models, allowing users to create custom assistants that enhance productivity without the hassle of multiple subscriptions.
Maxim is a robust platform designed to support the end-to-end lifecycle of AI applications, focusing on evaluation and observability.
LiteLLM is an open-source library designed to simplify LLM completion and embedding calls, offering an intuitive interface for various LLM models.
Emly.Labs is a no-code AI framework designed to simplify the development of intelligent enterprises, enabling users to manage data and automate AI processes seamlessly.
Awan LLM is a cloud-based inference API for large language models, providing unlimited and cost-effective token generation without token-based charges.
Explore TLM, a browser-based platform for experimenting with Cleanlab's Trustworthy Label Model, designed for reliable LLM applications.
Goover AI is a tailored AI research assistant designed to deliver specialized insights and reports that transcend conventional language models.
Lucida AI is an advanced English coaching tool that leverages AI to improve employees' language skills through personalized feedback and support.
PromptsLabs is a platform offering a vast selection of test prompts designed to assess and evaluate Large Language Models (LLMs).
A comprehensive AI security solution designed to safeguard users and applications from threats posed by LLMs.
DataLynn AI Interview Copilot offers instant AI-based support for interview preparation, generating high-quality responses to interview queries.
Lamini is an AI platform that enhances enterprise software development through generative AI, enabling automation and improved productivity.
ZeroTrusted.ai is a robust AI privacy and security solution utilizing Zero Trust protocols to protect your identity and data from unauthorized access and malicious actors.
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