In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. Building on the foundations of Transformer architecture and BERT’s bidirectional upgrade, several groundbreaking language models have emerged in recent years, pushing the boundaries of what machines can understand and … [Read more...] about Most Powerful 7 Language (LLM) and Vision Language Models (VLM) Transforming AI in 2023
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Beyond ChatGPT: Open-Source Projects in Generative AI
In the realm of generative AI, open-source projects have emerged as powerful tools that democratize access to cutting-edge models and foster collaborative development. They enable researchers, developers, and enthusiasts to experiment, improve upon existing models, and create novel applications that benefit society as a whole. In this article, I want to briefly review the … [Read more...] about Beyond ChatGPT: Open-Source Projects in Generative AI
Top 6 Research Papers On Diffusion Models For Image Generation
Midjourney Evolution. V1 – V5.1 In 2015, a research paper from Stanford University and UC Berkeley introduced diffusion models, coming originally from statistical physics, into the field of machine learning. According to the paper summary, “the essential idea is to systematically and slowly destroy the structure in a data distribution through an iterative forward diffusion … [Read more...] about Top 6 Research Papers On Diffusion Models For Image Generation
10 Leading Language Models For NLP In 2022
UPDATE: We have published the updated version of this article with the top 10 transformative LLM research papers from 2023. The introduction of transfer learning and pretrained language models in natural language processing (NLP) pushed forward the limits of language understanding and generation. Transfer learning and applying transformers to different downstream NLP tasks … [Read more...] about 10 Leading Language Models For NLP In 2022
NeurIPS 2021 – 10 Papers You Shouldn’t Miss
The 2021 edition of the most beloved conference in Artificial Intelligence is here to end the year with a ‘grand finale’. The growth of the conference hasn’t ceased: last year’s conference — which we also reviewed — had 1899 main-track papers accepted, compared to this year’s 2334. Some of the published papers have been on arxiv.org for some time now and have … [Read more...] about NeurIPS 2021 – 10 Papers You Shouldn’t Miss
A Guide To Knowledge Graphs
Table of Contents Introduction- What is a Knowledge Graph (KG)?- Why KG?- How to use KG?KG in practice- Open source KGs- Creating custom KG- KG ontology- Hosting KG (database)- Query facts from KG Introduction In this section, we will introduce KG by asking some simple but intuitive questions about KG. In fact, we will cover the what, why, and how of the knowledge … [Read more...] about A Guide To Knowledge Graphs
Why Graph Theory Is Cooler Than You Thought
What are Graphs? Talk to a scientist in just about any discipline, and ask them the question — based on their discipline — “how does that stuff work?” You’ll likely find that there are systems and networks that you have to consider before you can really understand how any given thing works: whether that’s the human body, a food chain in an ecosystem, a … [Read more...] about Why Graph Theory Is Cooler Than You Thought
BERT Inner Workings
I created this notebook to better understand the inner workings of Bert. I followed a lot of tutorials to try to understand the architecture, but I was never able to really understand what was happening under the hood. For me it always helps to see the actual code instead of just simple abstract diagrams that a lot of times don’t match the actual implementation. If you’re like … [Read more...] about BERT Inner Workings
Pretrain Transformers Models in PyTorch Using Hugging Face Transformers
This notebook is used to pretrain transformers models using Hugging Face on your own custom dataset. What do I mean by pretrain transformers? The definition of pretraining is to train in advance. That is exactly what I mean! Train a transformer model to use it as a pretrained transformers model which can be used to fine-tune it on a specific … [Read more...] about Pretrain Transformers Models in PyTorch Using Hugging Face Transformers
Top Applications of Graph Neural Networks 2021
At the beginning of the year, I have a feeling that Graph Neural Nets (GNNs) became a buzzword. As a researcher in this field, I feel a little bit proud (at least not ashamed) to say that I work on this. It was not always the case: three years ago when I was talking to my peers, who got busy working on GANs and Transformers, the general impression that they got on me was that I … [Read more...] about Top Applications of Graph Neural Networks 2021