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Success stories from our partners

Real-world examples of how Arc53 has helped organizations achieve their goals

Embeddings and MongoDB Atlas
Embeddings and MongoDB Atlas

Dive into the essentials of embedding models, understand their significance in AI applications, and learn about the advantages of integrating MongoDB Atlas for efficient data management. Discover the step-by-step guide to setting up DocsGPT with MongoDB, enhancing your AI projects' efficiency and scalability.

DocsGPT on AWS Sagemaker
DocsGPT-7b on Sagemaker

A step-by-step tutorial on deploying DocsGPT-7B-Mistral (and other LLMs) on AWS SageMaker. It covers everything from setting up your SageMaker environment with the appropriate dependencies and permissions, to configuring and deploying your custom LLM using HuggingFace's image.

DocsGPT v0.6.0
DocsGPT v0.6.0

We are excited to announce the release of DocsGPT version 0.6.0. This update brings settings menu, new llm's (Mistral and Anthropic), suite of new features, improvements, and bug fixes. We've addressed numerous issues further enhancing the platform's capabilities.

DocsGPT-llms
DocsGPT LLM's

Set of models tailored for the tasks you've been waiting for – from Documentation-based QA, RAG (Retrieval Augmented Generation), to assisting developers and technical support teams by chatting with your data. DocsGPT LLM's are designed to engage in conversation using documents/data types of tasks.

DocsGPT Update v0.2.0
DocsGPT V0.2.0

We are excited to announce the release of DocsGPT v0.2.0, which brings new features and improvements, including a built-in file ingester, Docker support, and ingester changes. This update also addresses bug fixes and stability improvements, making the user experience better than ever.

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Rudolf Riegler III

To increase conversions and retention, we first implemented a data tracking system to monitor customer behaviour and engagement across all channels, including email campaigns and website interactions. Using this data, we developed personalised marketing strategies based on each customer's preferences, which led to a significant increase in conversion rates.

DocsGPT v0.7.0
DocsGPT v0.7.0

Another milestone in our continuous journey of innovation and user-centric development. This update introduces public LLM endpoint, MongoDB Atlas integration, dark theme, and other essential updates, designed to streamline your experience and protect your eyes while handling documents.

Benchmarking Large Language Models
Benchmarking LLMs

Explore the critical role of benchmarking in the development and optimization of Large Language Models. Dive into detailed insights on methods like metric evaluations, advanced model judges, and the balance between human reviews and automated assessments. Learn how to identify the best LLM for you.

DocsGPT Update v0.5.0
DocsGPT Update v0.5.0

Update brings a wave of enhancements including CPU inference, Elasticsearch integration, and a cleaner backend, paired with the addition of the Hugging Face inference and an npm widget. We focused on optimizing performance, improving search functionality, and expanding accessibility.

DocsGPT Update v0.3.0
DocsGPT V0.3.0

The latest release introduces a lot of advancements including answer streaming, history, widget, and other features, all bundled together with an array of bugfixes and quality of life improvements. This update ensures more intuitive and engaging user experience but also a more robust and seamless performance.

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Vashe Zoloto

Created a personalised marketing campaign using only receipts data from their physical and online stores. After streamlining the data cleaning process and feeding it to one place, we enriched and recreated unique customer profiles. We then connected the data to PersonalisationAI, creating customised and automated marketing campaigns.