Anote
Optimize LLMs for your data: Anote evaluates, fine-tunes (supervised/unsupervised/RLHF), annotates data, and deploys on‑prem via SDK.
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Project Description
Anote is an end to end MLOps platform that enables you to obtain the best large language model for your data. On Anote, we provide an evaluation framework to compare zero shot LLMs like GPT, Claude, Llama3 and Mistral, with fine tuned LLMs that are trained on your domain specific training data (via supervised, unsupervised and RLHF fine tuning). We provide a data annotation interface to convert raw unstructured data into an LLM ready format, and incorporate subject matter expertise into your training process to improve model accuracies. End users can route / integrate the best LLM into their own, on premise, private chatbot, as well as interact with our software development kit for fine tuning.
Prior Work
Not applicable.
Team
Products & Tools
Additional Links
We are excited to introduce OpenAnote, a free and decentralized baseline version of the Anote platform designed to make artificial intelligence more accessible to everyone. OpenAnote is an end-to-end MLOps platform that empowers users to select the best large language model (LLM) for their specific needs. With a robust evaluation framework, OpenAnote enables comparisons between zero-shot LLMs like GPT, Claude, Llama3, and Mistral, as well as fine-tuned models customized for domain-specific tasks. OpenAnote includes tools for data annotation, model evaluation, and integration into private chatbots or SDKs, making it easier to train and deploy custom large language models. Supported task types include text classification, named entity recognition, and question-answering. To get started with OpenAnote, visit our dashboard, or explore our GitHub repository. For select enterprises, we are offering access to our code for partnerships and lower-level product access.
We are ecstatic to launch the Agent Registry. The Agent Registry is your hub for discovering and deploying domain-specific AI agents tailored to the tasks you care about. Explore the registry to find pre-trained agents for tasks like automated email outreach, AI-assisted RFPs, automated AI coding, and AI-based financial analysis. You can also contribute your agents to the registry by creating and submitting custom agent cards. Each agent card includes key details like features, use cases, capabilities, and a video demo, making it easy to showcase your agent’s potential and help others find solutions for their unique needs. To submit an agent to the registry, follow our submission guide. Fill out the required fields, provide details such as the agent’s description and features, and submit the form. Our team will review your submission within 2–3 business days. Once approved, your agent will be added to the registry for others to discover.
We are eager to launch Autonomous Intelligence. Autonomous Intelligence is our open-source research initiative to develop intelligent and collaborative teams AI agents that work together autonomously to complete complex tasks. With Autonomous Intelligence, you can build agents, assign them tasks, tools and models, and have these teams of agents work together within teams to complete processes, similar to the ways humans do. Within Autonomous Intelligence, you can monitor performance of these multi-agents AI systems for interpretability via detailed evaluation metrics and logs. You can also try to optimizing workflows to improve efficiency and performance via our UI or developer kit. Autonomous Intelligence is an exciting step toward advancing open-source autonomous agentic AI systems, and we welcome contributions from the broader research community.