AI SageScribeExample of Leveraging Sentence Transformers for Enhanced Semantic Similarity in NLPNatural Language Processing (NLP) stands at the forefront of how machines understand human language. A crucial aspect of NLP involves…1d ago
Eleanor HannainTowards Data ScienceYou Don’t Know Jacc(ard)When the Jaccard similarity index isn’t the right tool for the job, and what to do insteadJul 12
Vlademir JoséCollaborative Filtering for Recommendation SystemWhat is Collaborative Filtering?4d ago4d ago
Wei YiinTowards Data ScienceHow Does the Segment-Anything Model’s (SAM’s) Encoder Work?a deep dive into how image content embedding, sine and cosine positional embedding, guidance click embedding and dense mask embedding is…May 141May 141
AI SageScribeExample of Leveraging Sentence Transformers for Enhanced Semantic Similarity in NLPNatural Language Processing (NLP) stands at the forefront of how machines understand human language. A crucial aspect of NLP involves…1d ago
Eleanor HannainTowards Data ScienceYou Don’t Know Jacc(ard)When the Jaccard similarity index isn’t the right tool for the job, and what to do insteadJul 12
Wei YiinTowards Data ScienceHow Does the Segment-Anything Model’s (SAM’s) Encoder Work?a deep dive into how image content embedding, sine and cosine positional embedding, guidance click embedding and dense mask embedding is…May 141
Milana ShkhanukovaCosine distance and cosine similarity-Okay, Milana, there is a mistake: cosine similarity cannot be negative. - Oh, it can be.Mar 4, 20232
Priyanshu mauryaAlternative to Cosine Similarity Function for Self-Supervised TasksIn self-supervised training, we use contrastive loss to learn the feature embeddings of structures or text. For contrastive loss, we often…Jun 29
Fabio MatricardiinGenerative AIStrange Case of Dr Cosine and Mr RelevanceThe never ending dilemma between similarity and relevance, Semantic Similarity Search and hard work in curating our datasets.Mar 151
