Guidebook to the State-of-the-Art Embeddings and Information Retrieval
https://www.linkedin.com/pulse/guidebook-state-of-the-art-embeddings-information-aapo-tanskanen-pc3mf?utm_source=share&utm_medium=member_android&utm_campaign=share_via
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Guidebook to the State-of-the-Art Embeddings and Information Retrieval
I got into (neural) information retrieval somewhere around 2020 when I stumbled upon the “Sentence-BERT” paper (Reimers & Gurevych 2019, I recommend you also follow Nils Reimers on X), which introduced a transformer-based “siamese” network (often also referenced…
Exploring the Heart of Modern AI: Transformers
Have you ever wondered how models like GPT-3 and BERT understand and generate human-like text? The answer lies in Transformer architecture, a breakthrough that has revolutionized AI. Transformer Explainer offers an interactive deep dive into the mechanics behind these models, from tokenization to self-attention mechanisms.
Whether you're a seasoned AI professional or just curious about how AI works, this tool provides an insightful, hands-on experience. Check it out here:https://poloclub.github.io/transformer-explainer
Have you ever wondered how models like GPT-3 and BERT understand and generate human-like text? The answer lies in Transformer architecture, a breakthrough that has revolutionized AI. Transformer Explainer offers an interactive deep dive into the mechanics behind these models, from tokenization to self-attention mechanisms.
Whether you're a seasoned AI professional or just curious about how AI works, this tool provides an insightful, hands-on experience. Check it out here:https://poloclub.github.io/transformer-explainer