Share this article
09. 10. 2023

2 min read

Unlocking AI Insights: Key Takeaways from Working with Large Language Models

Author

Robert Eckstein, Machine Learning Engineer, and Martin Ludvík, Head of AI

The advancements in artificial intelligence, particularly with large language models (LLMs), have had a significant impact on various sectors. As Semantic Visions is in the process of exploring LLMs capabilities and integrating these models into our workflows, we have encountered challenges, surprises, and many learning opportunities. In this article, we will share key takeaways from our experiences, offering insights for both technical enthusiasts and businesses looking to leverage these AI tools. In our exploration, Semantic Vision’s machine learning team focused on five core areas using LLMs’ capabilities: Topic Classification, Named Entity Recognition (NER), Text Paraphrasing, Knowledge Graph Population, and Victim/Aggressor Role Labeling.

Key Takeaways

  • Topic Classification:
    • Large Language Model (LLM) fine-tuning is now an almost trivial task with OpenAI tools.
  • Name Entity Recognition:
    • While Large Language Models excel in many tasks, specialized models designed and optimized for specific applications can outperform them. Named Entity Recognition is one such example, where specialized models are, for the time being, better.
  • Text Paraphrasing Findings:
    • Text paraphrasing and summarization with GPT models is very impressive and already suitable for production. GPT 3.5 Davinci is slightly better than ChatGPT 3.5.
  • Knowledge Graph Population Findings:
    • Using LLMs, transforming unstructured data into knowledge graphs has become more feasible than ever.
  • Victim/Aggressor Role Labeling:
    • Fine-tuned Llama2 model with 13 billion parameters provided on average 10% better accuracy on the Victim/Aggressor task than the much larger ChatGPT 3.5 model, with 175 billion parameters.

——————————————————————————————————————

You can find the full version of the whitepaper here:

Ready to dive deeper into the insights and knowledge offered in our whitepaper? Discover the full version today for a comprehensive look at working with Large Language Models and expert analysis. Click the link below to access the complete whitepaper and stay ahead of the curve.

[download_after_email id=”615″]

Read next

Key Global Trends in 2024: Insights from Data Analytics
16. 01. 2025 - 4 min read

Key Global Trends in 2024: Insights from Data Analytics

In 2024, several global trends have taken center stage, reshaping industries and sparking new conversations across the globe. Semantic Visions analyzed media coverage from over 1.9 million sources Key Global Trends in 2024 In 2024,...

Read more
Semantic Visions at Manifest 2025: Supplier Risk Insights
09. 01. 2025 - 3 min read

Semantic Visions at Manifest 2025: Supplier Risk Insights

Can you predict the next disruption in your supply chain? At Semantic Visions, we help businesses mitigate supplier risks with real-time data insights. Join us at Manifest 2025, from February 10–12 in Las Vegas, where...

Read more
AI set to tackle Increasingly complex logistics challenges
09. 01. 2025 - 4 min read

AI set to tackle Increasingly complex logistics challenges

Originally published on Seatrade Maritime News, link to the original article. Advanced technological solutions could offer an answer to the challenges of safety and security in supply chains by allowing shippers to know their logistics...

Read more

Ready to see it in action?

Let's meet