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Deep learning: introduction
Deep learning is a tool that has invaded everyday life. Many of the applications we use daily are based on…
![NLP: a comprehensive guide [Part 3]](https://cdn.shortpixel.ai/spio/ret_img,q_cdnize,to_webp,s_webp/flowygo.com/wp-content/uploads/2024/08/NLP_guide.webp)
NLP: a comprehensive guide [Part 3]
What are the NLP models that have made history? In this guide we will discover some of these as well…
NLP: a comprehensive guide [Part 2]
Natural language processing (NLP) allows us to create systems that can interpret what we write. But how are the data…
NLP: a comprehensive guide [Part 1]
Every day we interface with computer systems that answer our questions in natural language. But how are the programmes of…
PostGIS: introduction to the spatial database
Spatial data have become a key piece of information for many applications in recent years. Their use is no longer…
![AI: engineering prompts to reduce hallucinations [part 2]](https://cdn.shortpixel.ai/spio/ret_img,q_cdnize,to_webp,s_webp/flowygo.com/wp-content/uploads/2023/10/Prompt_Engineering.webp)
AI: engineering prompts to reduce hallucinations [part 2]
Hallucinations, i.e., responses that appear to make sense but are actually incorrect, afflict all large language models (LLMs). There are…
AI: prompt engineering to reduce hallucinations [part 1]
Prompt engineering techniques allow us to improve the reasoning and responses provided by LLMs , such as ChatGPT. However, are…
![Pandas: data analysis with Python [part 2].](https://cdn.shortpixel.ai/spio/ret_img,q_cdnize,to_webp,s_webp/flowygo.com/wp-content/uploads/2024/03/Black-Minimalist-Panda-Tutorial.png)
Pandas: data analysis with Python [part 2].
Pandas is a Python library that allows us to analyze data from a variety of sources. Among the most useful…
Pandas: data analysis with Python [part 1].
Data scientists continually need to read, manipulate, and analyze data. In many cases they use specific tools, but sometimes they…