AI

Stability AI introduces Stable Code: A General Purpose Base Code Language Model

Machine Learning has iconic applications in programming languages, from code understanding to code representation or completion. Previous work has focused on exploiting the underlying deep semantic structure of programming languages such as Code2Vec, Code2Seq, and...

LLM2LLM: UC Berkeley, ICSI and LBNL Researchers’ Innovative Approach to Boost Large Language Model Performance in Low-Data Regimes with Synthetic Data

Large language models (LLMs) are at the forefront of technological advances in natural language processing, marking a significant leap in the ability of machines to understand, interpret, and generate human-like text. However, the full potential of LLMs often remains...

How do ChatGPT, Gemini and other LLMs work?

Large language models (LLMs) such as ChatGPT, Bert, Gemini, Google's Claude Models and others have emerged as central figures, redefining how we interact with digital interfaces. These sophisticated models, powered by transformer architectures, mimic human responses...

Paperlib: Open Source AI Research Paper Management Tool

In academic research, particularly in computer vision, keeping track of conference proceedings can be a real challenge. Unlike journal articles, conference papers often lack easily accessible metadata such as DOI or ISBN, making them more difficult to find and cite....

Microsoft Researchers Introduce Garnet: An Open Source Faster Caching System to Accelerate Applications and Services

To meet the significantly growing need for more efficient data storage options amid the rapid development of interactive applications and web services, a team of researchers from Microsoft released Garnet, an open source cache storage system. Although traditional...

This AI paper from IBM and Princeton presents Larimar: A Novel and Brain-Inspired Machine Learning Architecture for Enhancing LLMs with a Distributed Episodic Memory

Trying to improve the capabilities of large language models (LLM) is a key challenge in artificial intelligence. These digital behemoths, repositories of vast knowledge, face one major hurdle: staying current and accurate. Traditional methods of updating LLMs, such as...

This AI paper proposes Uni-SMART: Revolutionizing Scientific Literature Analysis by Integrating Multimodal Data

Analysis of the scientific literature is vital to the advancement of research, yet the rapid growth of scientific articles poses challenges for thorough analysis. LLMs promise to summarize texts, but need help with multimodal elements such as molecular structures and...

Researchers at Google AI present a machine learning-based approach to teach strong LLMs how to better reason with graph information

Imagine everything in your immediate vicinity, from your friends and family to the utensils in your kitchen and the parts on your bike. Each of them is related in some way. The word "graph" describes the relationships between entities in computer science. Nodes are...

This AI paper from the University of Oxford proposes Magi: A Machine Learning Tool to Make Manga Accessible to the Visually Impaired

In storytelling, Japanese comics, known as Manga, have carved out an important niche, enthralling audiences around the world with their intricate plots and distinctive art style. Despite their global appeal, a critical segment of potential readers remains largely...

Google AI Proposes FAX: A JAX-Based Python Library for Defining Scalable Distributed and Unified Computing in the Data Center

In recent research, a team of researchers from Google Research presented FAX, an advanced software library built on top of JavaScript to improve computations used in federated learning (FL). It has been specifically developed to facilitate large-scale distributed and...

Unlocking the Recall Power of Large Language Models: Insights from the Needle-in-a-Haystack Test

Apr 19, 2024 | Prompts

The rise of Large Language Models (LLM) has revolutionized Natural Language Processing (NLP), enabling significant advances in text generation and machine translation. A critical aspect of these models is their ability to retrieve and process information from text...

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