Softlandia
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Posts tagged with
#Generative AI
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.
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
Finding AI Use Cases: The AI Booster Cycle
Softlandia's ABC of AI deployment simplifies AI integration with a three-step process: Educate, Empower, and Experiment. Equip your team with tools like YOKOT.AI and ChatGPT to boost efficiency and innovation.
Top things to know about AI transcription to stay ahead of the competition
AI transcription automates speech-to-text conversion for faster, more detailed documentation, voice analytics, and multilingual content creation. Leverage advanced machine learning models, large language models, and speaker recognition technology to improve user experience and stay competitive.
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.
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!
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?
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.