Tiya VajPseudo-labeling,Pseudo-labeling, also known as self-training, is a semi-supervised learning technique used when labeled data is scarce or expensive to…1 min read·Apr 9, 2024----
Tiya VajChromaDB jobChromaDB facilitates searching for documents based on their embeddings, which represent the semantic content of the text. When a query is…1 min read·Apr 8, 2024----
Tiya VajIn-context learning (ICL)Here’s a breakdown of in-context learning (ICL), along with its significance and how it works:2 min read·Apr 6, 2024----
Tiya VajIf I know how to fine tune pre-trained model, is it difficult to run large language model?Fine-tuning pre-trained models and running large language models (LLMs) are related but distinct areas of expertise. Here’s a breakdown of…2 min read·Apr 6, 2024----
Tiya VajFine-Tuning VS Prompt tuningHere’s a breakdown of when to use fine-tuning vs. prompt tuning, along with the pros and cons of each approach:2 min read·Apr 6, 2024----
Tiya VajHow Retrieval-Augmented Generation (RAG) worksSure, here’s a summary of the process of how Retrieval-Augmented Generation (RAG) works, broken down into bullet points:1 min read·Apr 6, 2024----
Tiya VajMultimodal data classificationDealing with multimodal data classification tasks involves a few key challenges and strategies. Here’s a breakdown of how to approach it:2 min read·Apr 5, 2024----
Tiya VajDetecting Audio DeepfakesIdentifying audio deep fakes using machine learning involves several steps, which can include feature extraction, model training, and…2 min read·Apr 5, 2024----
Tiya VajDetecting Video DeepfakesDetecting video deepfakes using machine learning (ML) involves several steps, primarily focusing on analyzing visual and audio components…2 min read·Apr 5, 2024----
Tiya VajHow to detect image deepfakesDetecting image deepfakes involves various techniques, including manual inspection, forensic analysis, and machine learning approaches…2 min read·Apr 5, 2024----