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

Eagle Alpha: Alternative Data Report 2024
20. 12. 2024 - 4 min read

Eagle Alpha: Alternative Data Report 2024

We are proud to be featured in Eagle Alpha’s 2024 Alternative Data Report, which highlights the latest trends, use cases, and innovations shaping the alternative data landscape. Our contribution focuses on how unstructured data can...

Read more
Semantic Visions Among the Winners of the 2024 Top Software & Technology Solutions Award for Multi-Tier Supply Chain Mapping
09. 12. 2024 - 2 min read

Semantic Visions Among the Winners of the 2024 Top Software & Technology Solutions Award for Multi-Tier Supply Chain Mapping

We are thrilled to share that our Multi-Tier Supply Chain Mapping Solution has been recognized among the winners of the 2024 Top Software & Technology Solutions by Supply & Demand Chain Executive. This prestigious award celebrates...

Read more
ESG as a Strategic Advantage: Expert Insights from Semantic Visions and Deloitte
28. 11. 2024 - 4 min read

ESG as a Strategic Advantage: Expert Insights from Semantic Visions and Deloitte

The recent webinar hosted by Semantic Visions and Deloitte brought together C-suite leaders from banking, financial services, and manufacturing sectors to discuss the evolving role of ESG in driving long-term business growth. During the session,...

Read more

Ready to see it in action?

Let's meet