Posts tagged with
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.
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!
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.