IT KNOWLEDGE

MANAGEMENT

MEETUP

AUGUST 1, 2024

18:30 - 21:00 

Technopolis Penta,
Ozo g. 12A, 5 floor

You're invited!

Gurtam is an international developer of telematics and IoT solutions.
With over 20 years of experience in the global market, we've become experts in our field.
We have a lot to share, and we bet you do too! Let's team up!

Speakers

Business Analyst, Gurtam
Yuliya Pshaulotskaya
From Chaos to Clarity: Streamlining knowledge management through documentation

In the presentation, I will explore common challenges in IT knowledge management, effective strategies for standardizing and updating documentation, and real-world examples of how chaotic documentation has been transformed into an organized knowledge repository.

From Chaos to Clarity: Streamlining knowledge management through documentation

In the presentation, I will explore common challenges in IT knowledge management, effective strategies for standardizing and updating documentation, and real-world examples of how chaotic documentation has been transformed into an organized knowledge repository.

Technical writer, knowledge manager Knowledge and Bacon
Lana Novikova
Preparing internal knowledge for AI: How to make content more suitable for LLM (large language models) and RAG (retrieval-augmented generation) but still understandable by people

In today's world, crafting documentation isn't just about meeting the needs of your users—it's also about catering to a new, highly influential audience of readers: generative AI and large language models (LLMs). With the rapid advancement of AI, we must embrace this change and adapt our writing strategies accordingly.

I will share my insights on how to optimize your technical writing to effectively serve both LLMs and AI services, while still providing an excellent experience for human readers, and how to prepare your content to support Retrieval-Augmented Generation (RAG) without compromising on quality for your primary audience.

Preparing internal knowledge for AI: How to make content more suitable for LLM (large language models) and RAG (retrieval-augmented generation) but still understandable by people

In today's world, crafting documentation isn't just about meeting the needs of your users—it's also about catering to a new, highly influential audience of readers: generative AI and large language models (LLMs). With the rapid advancement of AI, we must embrace this change and adapt our writing strategies accordingly.

I will share my insights on how to optimize your technical writing to effectively serve both LLMs and AI services, while still providing an excellent experience for human readers, and how to prepare your content to support Retrieval-Augmented Generation (RAG) without compromising on quality for your primary audience.

Meeting point

AUGUST 1, 2024

18:30 - 21:00 

Technopolis Penta,
Ozo g. 12A, 5 floor

LET'S
TEAM UP

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