Vivien Tran Thienindata from the trenchesBeyond Text: Taking Advantage of Rich Information Sources With Multimodal RAGRetrieval augmented generation (RAG) has become a very popular approach for creating question-answering systems based on specific document…Jun 6Jun 6
Vivien Tran Thienindata from the trenchesStanding on the shoulders of a giantLeveraging the web to answer open-ended questionsFeb 51Feb 51
Vivien Tran Thienindata from the trenches7 Text Classification Techniques for Any ScenarioAdd LLMs to Your Text Classification ToolboxMay 11, 2023May 11, 2023
Vivien Tran Thienindata from the trenchesNo Training Data? No Problem!Locating Objects in Pictures With Little to No Training ExamplesMar 30, 2023Mar 30, 2023
Vivien Tran Thienindata from the trenchesDigging Through the Minutiae: Query Your Documents With GPT-3With search engines and now AI assistants like ChatGPT, we have powerful tools to retrieve relevant information from the internet. However…Feb 9, 2023Feb 9, 2023
Vivien Tran Thienindata from the trenchesLeveraging Joint Text-Image Models to Search and Classify ImagesIntroduced by OpenAI in 2021, CLIP is one of the essential elements of the ongoing AI art revolution. But CLIP, a joint text-image model…Dec 23, 2022Dec 23, 2022
Vivien Tran Thienindata from the trenchesSemantic Search: An Overlooked NLP SuperpowerGiven a text corpus, semantic search consists of retrieving texts whose meaning matches a search query. For example, if your search query…Oct 27, 2022Oct 27, 2022
