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Building a RAG? Tired of chunking? Maybe Vision is All You Need!

Revolutionize AI search with Vision-RAG for more accurate, image-based retrieval and stay ahead of the competition.

The Rise of Applied AI Engineers and the Shift in AI Skillsets

Discover how the rise of Applied AI Engineers is reshaping the AI development landscape, bridging the gap between cutting-edge AI capabilities and practical, real-world applications for businesses.

Challenges Developers Face in Building Gen AI and LLM Apps: Insights from Recent Research

A study researched developer issues by analyzing over 29k questions from an OpenAI forum to uncover common pain points with Gen AI and LLMs

For CTOs: Research on the Top 5 Root Causes of Why AI Projects Fail

More than 80 percent of AI projects fail—twice the rate of failure for information technology projects that do not involve AI.

spogen.ai: Revolutionizing Audio Assistance for Heavy Machinery

Softlandia co-founded Spogen.ai, a company that is revolutionizing the way operators interact with industrial equipment using advanced AI-powered audio assistants.

AI Architecture: The Foundation of Effective Applied AI Solutions

AI architecture is a crucial factor in developing high-quality AI applications. Software engineering complements AI, particularly through RAG architecture, and an AI-first mindset combined with a robust architecture is essential for business success.

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.

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.

Recap of the second data science meetup

Our second data science meetup of the year was held on 21.3.2023, and it was great!

Building NLP solutions: strategies and tools

Here we give a roadmap to creating an effective NLP service, and list some of our favourite tools.

Training tiny specialized language models

Here, we're demonstrating a new transformer architecture called MEGABYTE, and training it on a new interesting dataset called TinyStories, on a laptop!

Our first year summary

It's a wrap! The first operational year of Softlandia is done. Our first financial year is also closed, and books were audited already in Feb. And yes, it was a great start. Thanks to everyone helping us this far.

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!

Former Wärtsilä Voyage President, Reaktor US CEO Joonas Makkonen Joins Softlandia Team As Advisor

Softlandia is pleased to announce that Joonas Makkonen has joined the company as an advisor. Makkonen's role will significantly contribute to Softlandia's expansion into the US market.

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?