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description=You’ve heard all about vibe coding – now say hello to vibe NLP. With Ellf, your team can take back control and build custom and fully private AI solutions in-house.;

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Text of the page (random words):
ellf your virtual nlp engineer for agentic development documentation pricing login sign up from the makers of spacy and prodigy your virtual nlp engineer you ve heard all about vibe coding now say hello to vibe nlp with ellf your team can take back control and build custom and fully private ai solutions in house get started read the docs ︎ claude code we need to extract products and features from support tickets we started with an llm api but it s slow and expensive and our data needs to stay private how can we train our own model ︎ let me analyze your requirements and put together a project plan for you project planning break your business problem down into actionable steps distillation use llms to create better smaller faster and fully private task specific components model training and analysis train and fine tune task specific models analyze the logs and diagnose problems data preparation and exploration convert raw data cluster information and iterate on label schemes for your task data development collaborate on annotation and automate data labeling with agents annotation guidelines write comprehensive labelling manuals to scale up the data creation process pattern generation determine what to extract with rule based logic and create patterns interactively qa and evaluation test your system with real world and synthetic data coding assistance build custom solutions with spacy prodigy and the powerful python ecosystem how can i best solve this ︎ let me analyze your requirements and put together a project plan for you use your favorite tools ellf integrates seamlessly with your coding assistant of choice and makes it proficient at solving nlp problems and executing end to end machine learning projects cluster example com training experiment starting train a pipeline train annotate entities started named entity recognition ner keep your data private run annotation training and more powered by a data private cluster you operate locally or in your own cloud and 100 under your control ︎ claude code ellf support is this a good approach ︎ i ve emailed your conversation logs to support ellf ai re your ellf support request get human support if you ever feel stuck or need a second opinion send us your logs and have them reviewed by one of our nlp experts straight from your coding assistant from the blog what coding assistants are missing for nlp building software is mostly a code problem but building an nlp system is a code plus data problem out of the box coding assistants fall short in three ways ellf gives them the missing pieces annotation a low friction way to get feedback from humans on real data and schedule work on a human execution run long jobs and experiments on a private cluster without building infrastructure knowledge best practices from 10 years of solving real world nlp problems in industry read the blog post ellf for prodigy users already using the prodigy annotation tool here s how you can scale up automate and supercharge your annotation ellf for universities use ellf to collaborate on research and experiments and speed up and automate development and data collection optimize every part of your system ellf lets you run experiments on every component of your pipeline and its outputs and build reliable evaluation data with human annotators and agents instead of relying on vibes get a clear picture of what works and replace costly llm calls with smaller faster and private components read more ︎ claude code i want to evaluate our support ticket pipeline can you set up a task so our team and an agent can annotate a sample and compare the routing and extraction steps against the data ︎ sure let me set up the annotation task and an evaluation workflow for each component distill large model starting human in the loop distillation distill ticket routing 94 information extraction 78 frequently asked questions any other questions that are not covered here email us which tasks can ellf do ellf s modules cover all aspects of the nlp development process including project planning and advice data preparation and annotation machine learning and rule based logic and model training and evaluation in combination with your ai coding assistant like claude code or codex it can build end to end nlp pipelines for you and develop standalone ai systems that are accurate fast and run entirely under your control the ellf platform lets you run and monitor annotation tasks processes like training and evaluation and automated agents for working with data powered by your own data private cluster running locally or in the cloud data annotation workflows are powered by our popular annotation tool prodigy and cover all common nlp tasks including named entity recognition span categorization text classification relation extraction and more how can i use ellf with my ai coding assistant ellf seamlessly integrates with ai assisted coding tools like claude code codex github copilot junie or opencode once installed it provides skills and knowledge that unlock new capabilities and make your coding assistant proficient at planning and executing nlp projects this is the most efficient way to use ellf and means you can keep working like you normally do just with added nlp superpowers which ai models and providers does ellf support you can use ellf with any ai provider llm api or local models if you can do it in python you ll be able to use it with ellf the built in workflows include integrations with popular api providers like openai google gemini and typesafe as well as local models via hugging face and spacy you can access models via api requests with built in secrets support for authentication or run them directly from your data private cluster you and your coding assistant can also easily add custom workflows to connect to any internal or external service and load run or export custom models using any framework what expertise does my team need to use ellf ellf is designed for both beginners and experienced nlp developers if you re just getting started ellf will guide you through the end to end process answer any questions that come up and help you set up your project from scratch more experienced developers can use ellf to get feedback on their solution automate tasks and iterate faster ellf integrates seamlessly into your workflow wherever you are in the development cycle how does my data stay private ellf lets you plug in your own data processing cluster hosted locally or on your cloud infrastructure and under your control the cluster provides all data models and custom code you use and create and serves the annotation interface and performs actions like model training or data analysis this means that no sensitive data ever leaves your servers or has to pass through our servers in the process whenever data from the cluster is used and shown like in the web app or cli ellf makes two separate requests one to our server and one to your cluster the cluster can be set up in your cloud account e g aws google cloud or azure or on a local workstation in a few simple steps without requiring specific devops or infrastructure expertise if you ve connected ellf to your coding assistant like claude code it can also set up and launch your cluster for you from the makers of spacy and prodigy navigation home documentation platform pricing free trial login use cases prodigy universities llm evaluation resources case studies videos blog terms conditions privacy policy imprint 2026 explosion