Word Quick Tip: Recover Unsaved Documents
In this video, you’ll learn more about recovering unsaved documents in Microsoft Word. Visit https://www.gcflearnfree.org/word-tips/recover-unsaved-documents/1/ to learn even more. We hope you enjoy!
From playlist Word Tips
In this video, you’ll learn more about sorting records in Access 2007. Visit https://www.gcflearnfree.org/access2007/sorting-records/1/ for our text-based lesson. This video includes information on: • Sorting records on text values • Sorting records on numerical values • Clearing a sort
From playlist Microsoft Access 2007
From playlist IR11 Extracting content from web pages
Evaluation 6: precision and recall
Precision and recall are the two fundamental measures of search effectiveness. We discuss their building blocks (true/false positives/negatives), give a probabilistic interpretation, and provide an intuitive explanation of what they reflect. We also discuss why you should never report just
From playlist IR13 Evaluating Search Engines
From playlist Week 3: Information Retrieval
REALM: Retrieval-Augmented Language Model Pre-Training (Paper Explained)
#ai #tech #science Open Domain Question Answering is one of the most challenging tasks in NLP. When answering a question, the model is able to retrieve arbitrary documents from an indexed corpus to gather more information. REALM shows how Masked Language Modeling (MLM) pretraining can be
From playlist Papers Explained
Long Form Question Answering (LFQA) in Haystack
Question-Answering (QA) has exploded as a subdomain of Natural Language Processing (NLP) in the last few years. QA is a widely applicable use case in NLP yet was out of reach until the introduction of [transformer models](/learn/transformers/) in 2017. Without transformer models, the leve
From playlist Question Answering in NLP Course
Guest lecture by Sophia Althammer (https://twitter.com/sophiaalthammer) In this lecture we learn how about different task settings, challenges, and solutions in domains other than web search. Slides & transcripts are available at: https://github.com/sebastian-hofstaetter/teaching 📖 Check
From playlist Advanced Information Retrieval 2021 - TU Wien
Getting Started: Semantic Search at Scale
Learn how to build your first semantic search application. In this workshop, you will learn what semantic search is and how to build an application that leverages it, without needing extensive ML experience. You will learn about different semantic search applications, and how to use Pineco
From playlist Talks
AMPEX Videofile Information System : Computer History 1969 SEL 810A
AMPEX History: Here is fascinating 1969 promotional film on the AMPEX VIDEOFILE INFORMATION SYSTEM. The AMPEX VIDEOFILE system was created by merger of AMPEX’s groundbreaking video recording technology with document & image storage and retrieval technology. Originally produced by “Vist
From playlist Computers of the 1960's
Question, Answered: How to Build AI-powered Q&A Applications
Learn how to build AI-powered Q&A applications for production using the new integration between Haystack and Pinecone. We’ll be using Open Domain Question Answering (ODQA), which enables apps to provide intelligent responses to questions. ODQA has been used in a wide range of applications
From playlist Talks
Q&A Document Retrieval With DPR
▶️ Stoic Q&A App Playlist: https://www.youtube.com/playlist?list=PLIUOU7oqGTLixb-CatMxNCO-mJioMmZEB The third video in building our Stoic Q&A app. In open-domain question answering, we typically design a model architecture that contains a data source, retriever, and reader/generator. Th
From playlist Building a Stoic Q&A App