LLMOps 11

AI developer platform for training, fine-tuning, managing, and tracking AI models and applications. Weights & Biases is the leading AI developer platform to train and fine-tune models, manage models from experimentation to production, and track and evaluate GenAI applications powered by LLMs. W&B Prompts is a suite of LLMops tools to dramatically improve prompt engineering workflows and unlock deeper understanding of your LLMs. W&B Weave helps build agentic AI applications.

Open-source LLMOps platform for building and operating generative AI applications. Dify.AI is an open-source LLMOps platform designed to help developers build and operate generative AI applications. It offers visual management of prompts, operations, and datasets, enabling the creation of AI apps in minutes or the integration of LLMs into existing applications for continuous improvement. Dify supports the creation of Assistants API and GPTs based on any LLMs and provides features like RAG engine, orchestration studio, prompt IDE, enterprise LLMOps, BaaS solution, LLM agents, and workflows.

AI Observability and Security platform for monitoring and protecting LLM and ML models. Fiddler AI offers an AI Observability and Security platform designed to monitor, explain, analyze, and protect LLM applications and ML Models. It provides visibility and actionable insights, enabling enterprises to ship more predictive and generative models and LLM applications into production safely and responsibly. The platform includes features like LLM and ML monitoring, alerts, segmentation, root cause analysis, visualization, custom metrics, and reports. Fiddler Trust Models deliver fast response times and high accuracy in monitoring hallucination, PII, and prompt injection attacks.

Openlayer is an AI testing and observability platform for ML models and data. Openlayer is a powerful testing and observability platform for ML, designed for enterprises. It enables collaboration on finding and debugging issues in models and data, and committing new versions. Openlayer provides unified AI evaluation, observability, and governance across the AI lifecycle, from ML to LLMs. It supports testing, monitoring, and governing AI systems, ensuring a smooth transition from prototype to production through ongoing testing. Openlayer integrates with Git, offers SDKs, and works with various LLM providers, customizable via CLI and REST API.

AI and machine learning consulting company providing tailored AI solutions for businesses. Tryolabs is a specialized AI and machine learning solutions company that partners with companies to create business value through their AI journey. They offer services ranging from AI strategy and adoption to building, scaling, and optimizing ML solutions. They focus on areas like data engineering, video analytics, price optimization, and generative AI, serving industries such as e-commerce, insurance, manufacturing, and telecom.

AI observability and evaluation platform for LLM applications. HoneyHive is an AI observability and evaluation platform designed for teams building LLM applications. It provides tools for AI evaluation, testing, and observability, enabling engineers, PMs, and domain experts to collaborate within a unified LLMOps platform. HoneyHive helps teams test and evaluate their applications, monitor and debug LLM failures in production, and manage prompts within a collaborative workspace.

LLM observability and evaluation platform for monitoring, evaluating, and optimizing LLM applications. LangWatch is an LLM observability and evaluation platform designed to help AI teams monitor, evaluate, and optimize their LLM-powered applications. It provides full visibility into prompts, variables, tool calls, and agents across major AI frameworks, enabling faster debugging and smarter insights. LangWatch supports both offline and online checks with LLM-as-a-Judge and code-based tests, allowing users to scale evaluations in production and maintain performance. It also offers real-time monitoring with automated anomaly detection, smart alerting, and root cause analysis, along with features for annotations, labeling, and experimentations.

Platform for AI-powered product development with news, community, and courses. The Full Stack is a platform providing news, community, and courses for individuals involved in building AI-powered products. It focuses on the entire lifecycle of AI product development, from problem definition and GPU selection to production deployment, continual learning, and user experience design. The platform offers resources like the Large Language Models (LLM) Bootcamp and the Deep Learning Course (FSDL) to help users learn best practices and tools for building AI applications.

Open-source LLMOps platform for reliable AI apps. Agenta is an open-source LLMOps platform designed for building reliable and robust AI applications. It provides a comprehensive suite of tools for prompt management, prompt engineering, LLM evaluation, debugging, and monitoring of complex LLM applications. The platform aims to facilitate collaboration among developers and domain experts, enabling them to ship LLM applications faster and with confidence by moving from scattered workflows to structured processes.

AI observability and evaluation platform for AI applications from development to production. Arize AI offers a unified LLM Observability and Agent Evaluation Platform for AI applications, from development to production. It provides tools for Generative AI, ML & Computer Vision, and Open Source LLM Tracing & Evals. Arize AX helps accelerate AI app and agent development and perfect them in production. It integrates development and production to enable a data-driven iteration cycle, using real production data to power better development and aligning production observability with trusted evaluations.

LLMOps platform for prompt management, testing, and evaluation. Flapico is an LLMOps platform designed to help manage, version, test, and evaluate prompts for LLM applications. It aims to make LLM apps reliable in production by decoupling prompts from codebase, enabling quantitative testing over guesswork, and facilitating team collaboration on prompt writing and testing. Flapico offers features like a prompt playground, tools for running and analyzing large-scale tests, an evaluation library, and a secure model repository with bank-grade security.