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#LLM

From Earth to Mars: The Impact of Our Open-Source Contributions

Softlandia's team is a prominent contributor in open-source communities. These contributions are a testament to our capability to deliver outstanding value in software, AI, algorithms, and signal processing.

LLM-based Agents for Tabular Data Processing

Understanding and acting on tabular data, such as CRM and ERP exports, SQL databases, Excel sheets and comma separated values, remains challenging for large language models. In this post we show how an agentic workflow can take on the challenge of understanding tabulated data.

AI Engine explained – The path to smarter automation

An AI engine acts as a versatile toolkit, enabling businesses to automate tasks previously requiring human intellect. It transforms messy data into structured, actionable insights, streamlining business processes and enhancing decision-making speed.

Agents, assistants and GPTs - news from OpenAI devday 2023

OpenAI just dropped a bunch of new features and improvements to their service. These are bound to be real productivity boosters!

Finnish talk show host Arto Nyberg interviewed AI developed by Softlandia

An example of applied AI was witnessed by over half a million Finns during a live special broadcast of the Arto Nyberg talk show: we had the opportunity to implement a real-time talking and moving AI avatar for the program.

Bytewax & Softlandia Workshop Recap: Stateful Streaming Slack GenAI RAG Bot

On February 16th, Softlandia and Bytewax ran an engaging online workshop designed to introduce the basics of incorporating AI into Slackbots.

Summarize and customize your documents with GenAI – Introducing Generation Flows

Whether you're a marketing professional, a researcher or anyone else seeking efficiency in handling extensive amounts of text, YOKOT.AI's new features enable you to work more effectively.

Serverless LLMs (demo!) and other GenAI trends for 2024

Small language models are one of the biggest trends in GenAI in 2024. They can be already run for free on serverless platforms!

YOKOT.AI – lessons learned from our customers after 4 months in production

In this blog post we are discussing the importance of finding and defining just the right use case for your AI solution, why it is more efficient to use a complete RAG architecture instead of figuring out your own solution and how to ensure your corporate data remains private.

Microsoft Copilot, Grok, ChatGPT and YOKOT.AI – a Look into RAGs

What is common with Microsoft Copilot, Grok, ChatGPT and YOKOT.AI? They are all RAGs!

Simplifying Documentation With The Help of Generative AI – Introducing YOKOT.AI Document Generation Workflow

How do you go from an effective internal knowledge management to actually utilizing that knowledge to support your documentation processes?

How to 10x your productivity with onsite maintenance work - Private Generative AI example

Learn how to use YOKOT.AI, a private generative AI platform, to create a smart maintenance assistant for your equipment and boost your productivity and efficiency.

Building Robust LLM Solutions - 3 Patterns to Avoid

The blog post explores the challenges and brittleness of using Large Language Models (LLMs) across various tasks. We introduce three LLM anti-patterns, with focus on the solution infrastructure and RAG.

Bridging the AI Gap with Softlandia's Expertise

As AI keeps changing, businesses need to adapt quickly to stay ahead of the competition.

LLMs and privacy - what every enterprise needs to know

Almost every organization has found ways to make their operations more efficient with the help of LLMs. But privacy questions need to be solved before deploying LLMs at scale. We’ll explain the key aspects of privacy and LLMs in this blog post.