John HawkinsFew-Shot Prompting for Classification with LangChainThe dominant efficiency use case of Large Language Models (LLMs) is to generate initial chunks of content (be it code or document drafts)…Jan 7Jan 7
Adam KOvercoming the shortcomings of translated data when building an NLP classifierImagine this: you are designing a natural language processing (NLP) classifier to identify whether a particular brand is mentioned in a…Dec 27, 2024Dec 27, 2024
Gireek BansalCLIP: A New Step Towards True Visual-Language UnderstandingINTRODUCTIONDec 23, 2024Dec 23, 2024
Lane SchechterUnlocking the Full Potential of Contextual Advertising with RAG Models and Topic ModelingTying together the “what,” “who,” and “why.”Dec 20, 2024Dec 20, 2024
Rashad MoarrefRespecting Robots Exclusion Protocol or robots.txt at ScaleWeb crawlers play a crucial role in gathering data from websites, but without following guidelines like the Robots Exclusion Protocol or…Nov 6, 2024Nov 6, 2024
Andrew GeorgeWe Threw Away 13 Years of Work for EKSThirteen years of running in EC2.Oct 23, 2024Oct 23, 2024
Carlos BarbozaBoosting Batch Scoring Efficiency with BigQuery ML and ONNXIn the world of big data, scoring large datasets in a cost-effective and efficient manner is a common challenge, especially when performing…Oct 10, 2024Oct 10, 2024
Vinoth ChinnasamyUnlocking the Power of Custom AI: A Deep Dive into Snowflake Cortex Fine-TuningOverviewSep 12, 2024Sep 12, 2024
Ajit SarkaarMosaic Augmentation for Deep Learning Based Object DetectionIntroductionSep 4, 2024Sep 4, 2024
