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Improving language models by retrieving from trillions of tokens

OpenAIJanuary 9, 2024223Views 0Likes 0Comments

In recent years, significant performance gains in autoregressive language modeling have been achieved by increasing the number of parameters in Transformer models. This has led to a tremendous increase in training energy cost and resulted in a generation of dense “Large Language Models” (LLMs) with 100+ billion parameters. Simultaneously, large datasets containing trillions of words…

From Adaline to Multilayer Neural Networks | by Pan Cretan | Jan, 2024

Data ScienceJanuary 9, 2024209Views 0Likes 0Comments

Setting the foundations right Photo by Konta Ferenc on UnsplashIn the previous two articles we saw how we can implement a basic classifier based on Rosenblatt’s perceptron and how this classifier can be improved by using the adaptive linear neuron algorithm (adaline). These two articles cover the foundations before attempting to implement an artificial neural…

Key differences, Role & Types

NanonetsJanuary 8, 2024173Views 0Likes 0Comments

Tracking a sale from start to finish helps businesses maintain the right inventory levels, implement the best cash flow tactics, and ensure customers are receiving the right products. Since most businesses are monitoring multiple sales at once, keeping an accurate record of every step along the way is crucial. Regardless of the business type, operating…

A/B Testing: A Comprehensive Guide

Data AnalyticsJanuary 8, 2024188Views 0Likes 0Comments

A/B testing, also known as “split testing” or “randomized controlled trial” is a method of comparing two versions of a web page, app, or other product to see which one performs better. The basic idea of A/B testing is to divide your users into two groups: group A and group B. Group A (control variant)…

A New MIT Research Announces a Vision Check-Up for Language Models

AI NewsJanuary 8, 2024193Views 0Likes 0Comments

The study investigates how text-based models like LLMs perceive and interpret visual information in exploring the intersection of language models and visual understanding. The research ventures into uncharted territory, probing the extent to which models designed for text processing can encapsulate and depict visual concepts, a challenging area considering the inherent non-visual nature of these…

Language modelling at scale: Gopher, ethical considerations, and retrieval

OpenAIJanuary 8, 2024207Views 0Likes 0Comments

Responsibility & Safety Published …

Deploying LLM Apps to AWS, the Open-Source Self-Service Way | by Wenqi Glantz | Jan, 2024

Data ScienceJanuary 8, 2024194Views 0Likes 0Comments

A step-by-step guide on deploying LlamaIndex RAGs to AWS ECS fargate Image generated by DALL-E 3 by the author· IaC Self-Service · High-Level Deployment Diagram · Overview of Pipelines · Infrastructure Pipeline ∘ terraform-aws-modules ∘ Implementation Prerequisites ∘ Step 1: Create GitHub environments ∘ Step 2: Add infrastructure pipeline code ∘ Step 3: Add…

Invoice Data Extraction: A complete guide

UncategorisedJanuary 8, 2024173Views 0Likes 0Comments

Introduction In the modern business environment, accounts payable teams must be able to process invoices and payments as quickly and efficiently as possible. As the organization grows, the number of invoices that need to be processed also grows, requiring a larger team size and, longer processing times. In addition to this, manual invoice data extraction…

What is Resume Parsing? The Complete Guide

NanonetsJanuary 8, 2024198Views 0Likes 0Comments

In a year, a company may be receiving thousands of resumes from aspiring candidates. Larger companies may receive millions of resumes. It is necessary for them to build a database of resumes. Manually handling and organizing resumes and analyzing them to pick the right candidates is daunting. There is also an element of bias if…

Researchers from UT Austin and Meta Developed SteinDreamer: A Breakthrough in Text-to-3D Asset Synthesis Using Stein Score Distillation for Superior Visual Quality and Accelerated Convergence

AI NewsJanuary 8, 2024189Views 0Likes 0Comments

Recent advancements in text-to-image generation driven by diffusion models have sparked interest in text-guided 3D generation, aiming to automate 3D asset creation for virtual reality, movies, and gaming. However, challenges arise in 3D synthesis due to scarce high-quality data and the complexity of generative modeling with 3D representations. Score distillation techniques have emerged to address…