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#NLP

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.

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.

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!

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.

Bridging the AI Gap with Softlandia's Expertise

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

Tools of the AI engineer

In this blog post, we’ll give a practical tutorial to building your own LLM-based applications. Specifically, we’ll build an AI application that uses your private data to perform tasks.