Every business processes textual data every day - because language is what enables us as humans to communicate complex scenarios. For machines, however, processing text is one of the most difficult tasks, as it is inherently unstructured (other than e.g. a spreadsheet).

We help companies to turn natural language processing into a strength of their company in a data-centric approach. Why? To unlock a wide set of powerful use cases that previously seemed impossible to build.

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HPI Seed Fund

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Kern AI

🌟 Shining A Spotlight on RAG: Our Big Focus 🌟

In the ever-evolving world of AI & LLMs, staying ahead means embracing the most promising and transformative technologies. We see Retrieval Augmentation Generation (RAG) as a primary piece of the AI puzzle that enables organizations to rapidly adopt LLMs in a secure and trustworthy environment tailored to their specific needs. 

Here’s why:

🔍 Deep Understanding: RAG paves the way for AI applications to grasp context like never before, ensuring the most accurate and relevant information retrieval process available. RAG not only seamlessly connects LLMs to company data but also directs the LLM to the most relevant section of that data.

🔄 Feedback Loop: Continuous learning from user interactions ensures applications remain dynamic, adaptable, and always improving, benefiting the user. A sophisticated RAG application enables developers to create custom retrieval pipelines for specific queries.

🤝 User-Centric Design: With RAG, we're putting users in the driver's seat, allowing for a more tailored and intuitive AI experience, while delivering highly accurate responses and enabling custom prompts based on frequently asked questions, so the LLM has detailed instructions.

💡 Innovation at its Best: We're excited to be powering next-gen LLM adoption that improves organizations, employees, and customers with cognition, our newest product launch.

Our commitment is to deliver tools that empower developers and decision-makers alike. By focusing on RAG, we're not just keeping up with the times — we're leading the way.

Join us next week for the launch of cognition by following us on LinkedIn page.
#NextGenRetrieval #TrustworthyAI

🚨 Product Launch Announcement 🚀

We're excited to announce the release date of cognition on November 6th.

cognition is a developer platform to design and deploy sophisticated and intent-aware information retrieval for LLMs.

cognition symbolizes our commitment to retrieval augmentation generation (RAG) technology, as we’re strong believers in RAG being the foundational backbone for truly reliable and trustworthy AI applications.

With cognition, our vision is to empower organizations to rapidly integrate advanced AI technology. This not only provides their workforce with innovative tools that boost productivity, improve motivation, and offer day-to-day support, but also offers customers a world-class experience, positioning customer satisfaction as a pivotal competitive edge.

Some core benefits of cognition include:
🏃♀️ Allowing developers to quickly analyze and maintain the quality of their data.
🔍 Enhancing understanding of the user's actual intent to deliver highly precise responses.
👍 Implementing strategies that connect an LLM precisely to the right data based on user intent.

Follow us on LinkedIn to be a part of our launch and see cognition in action.
#NextGenRetrieval #TrustworthyAI #RAG #GenAI

Next-gen Retrieval Augmentation coming soon 🚀

In the rapidly evolving world of AI, trustworthiness is paramount. But what makes an AI truly trustworthy? 🤔

✅ Transparency: Understanding the underlying data that drives AI decision-making. 
✅ Reliability: Consistency in AI's performance and outputs, ensuring quality outputs every time. 
✅ Adaptability: An AI's ability to learn from user feedback and continuously refine its performance to better meet user expectations. 
✅ User Control: Giving users the reins to adjust AI behavior.

Enter the era of next-gen Enhanced Retrieval Augmentation Generation (RAG)! Our latest product release dives deep into the nuances of Retrieval Augmentation Generation (RAG), refining its core to be more intent-aware and aligned with user objectives.

With RAG, we're not just aiming to improve information retrieval - we aim to set a new standard for AI trustworthiness. 

Follow us on Linkedin to be among the first to hear about our product launch that is happening soon.
#NextGenRetrieval #TrustworthyAI #RAG

🔎 Unlocking the Next Level of Information Retrieval. 🔍

In today's digital landscape, businesses have access to vast amounts of data. Yet, extracting accurate, trustworthy and meaningful insights can remain challenging, even with the recent advancements in AI and document interaction tools. 

The core challenge? Reliable information retrieval systems and the nuances of retrieval augmentation generation (RAG).

Dealing with trust issues in AI outputs, understanding real intent behind every query, and ensuring the underlying data's quality continue to be elusive goals in numerous AI applications, deeply rooted in RAG.

Now imagine a future where every search and output is sharply attuned to the user's intent. Where confidence in the accuracy and trustworthiness of results is a given.

We've been decoding this future. Our mission is to equip developers with a tool that understands more than just keywords—it understands intent, context, and complexity.

Are you ready for a revolution in the world of information retrieval? Stay updated by following our LinkedIn page for news on our upcoming release 🔍💡

#NextGenRetrieval #TrustworthyAI #RAG

New exciting features just dropped! 🎉 

Here's what's new in refinery, gates, and workflow: 
- Labeling functions and attribute calculation now have a neat progress bar to let you know if you can immediately continue the data crunching or if it's time to grab another coffee.  
- refinery now supports embeddings from #Cohere and #OpenAI embedding API. Whoop!  
- Project exports in the refinery can now be secured with an encryption key for higher security.  
- We have improved the error handling for gates.  
- Workflow now supports project exports and imports to secure your favorite projects!

Sign up at https://app.kern.ai/ or get the open-source version of refinery at https://lnkd.in/dzn_rmXu to try some of these features yourself!
Or go to https://changelog.kern.ai/ to read more.

We believe that great things can only be achieved together as a team. Last weekend, the Kern AI team spent some quality time in Barcelona, exploring the city, eating paella, and enjoying the beautiful Spanish weather. 🇪🇸

Of course, we also talked a lot about AI and shared our ideas for Kern's future. Having a team where we value and trust each other is not a given, and we are grateful for all the people in our team that are striving to support our vision.

The GPT models can be immensely powerful. But when you have a lot of data or the data needs to be manually cleaned to remove personal information, things can get expensive quickly.

By using GPT to label some of our data we can extract its knowledge and use it to train a much smaller and cheaper model very quickly.

Learn how to do that in Kern AI refinery here: https://lnkd.in/e4Us2NXB

#gpt #datascience #machinelearning #kern

If you’re not using custom chatbots for the documentation of your product, you are definitely missing out on one of the best use cases for large language models. #LLMs

In under 20 minutes, Moritz Feuerpfeil explains the workflow of such a system and implements a working prototype using #embeddings in a vector database, similarity search, and #ChatGPT from OpenAI.

We released the code alongside the video, so you can concentrate on the explanations instead of having to code along.

Check out the video here: https://lnkd.in/e8y45j6S
Repository for the code: https://lnkd.in/emxDAR8Y

Follow Kern AI for more insights on how to leverage modern NLP and LLMs for your business! Find our hitchhiker's guide to ChatGPT for business here: https://lnkd.in/erzMmfbu

Last week we've been to the #m3 conference in Karlsruhe. Time to recap! As a gold sponsor of the event, we were able to showcase our amazing tools and share some stickers on our cute little stand.

Leonard also had the opportunity to demonstrate the powerful capabilities of our tools refinery and bricks and how to fuel them with powerful models like GPT to master natural language processing. 

The event was really great, with many really cool people, interesting talks as well as delicious food and drinks. 

Big thanks to Heise and dpunkt.verlag for the amazing event!

Kern AI offers services in the field of natural language processing that enable a range of interaction modes between humans and machines. The company manages natural language products, ETL pipelines, and workflows.

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Kern AI

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