AutoCodeRover: An Automated Artificial Intelligence AI Approach for Solving Github Issues to Autonomously Achieve Program Improvement

The growth of deep learning has led to its use in various fields, like data mining and natural language processing, as well as in addressing inverse imaging problems. To enhance the reliability of deep neural networks,…

Transforming Business Operations with AI In the digital age, the way we work is changing rapidly, but challenges remain. Traditional AI assistants and manual workflows often struggle with the complexity and volume of modern tasks. Businesses…

The KDD conference in Long Beach, CA showcased various topics, but the highlights were Large Language Models (LLMs) and Graph Learning. The LLM Revolution keynote by Ed Chi of Google discussed the ways LLMs are bridging…

Optimizing Language Models for Improved NLP Tasks Challenges in Prompt Engineering Designing Language Model (LM) Programs requires time-consuming manual prompt engineering, hindering efficiency. Lack of evaluation metrics for individual LM calls complicates optimization. Approaches to LM…

Understanding Networking Architectures Networking architectures are essential for global communication, enabling data exchange across complex systems. They must be fast, scalable, and secure while integrating old systems with new technologies. Adapting to various network conditions is…

MiniCPM, developed by ModelBest Inc. and TsinghuaNLP, is a compact yet powerful language model with 2.4 billion parameters. It demonstrates close performance to larger models, especially in Chinese, Mathematics, and Coding. Its ability to run on…

Summary: Making mistakes as an analyst can be a common fear. It is important to develop strategies to minimize the risk of producing flawed outputs. Some strategies include setting a proper basis before starting an analysis,…

Language models like GPT-4 are powerful but sometimes produce inaccurate outputs. Stanford and OpenAI researchers have introduced “meta-prompting,” enhancing these models’ capabilities. It involves breaking down complex tasks for specialized “expert” models within the LM framework.…

Brave has unveiled Leo, its native AI assistant, designed to enhance user privacy and improve AI interactions. Leo responds to user queries based on visited webpages and does not collect conversations or track users. Leo Premium,…

Recent developments in vision-language models have led to advanced AI assistants capable of understanding text and images. However, these models face limitations such as task diversity and data bias. To address these challenges, researchers have introduced…

The NYPD has partnered with tech company Truleo to use AI to analyze police body-worn camera footage. Truleo’s software categorizes officers’ language and scores interactions as “professional” or “unprofessional.” Meanwhile, in the UK, there are plans…

This article discusses four different methods of passing arguments to Python scripts. For more information, please read the full article on Towards Data Science.

Recent research by EPFL and Meta introduces the Chain-of-Abstraction (CoA) reasoning method for large language models (LLMs) to enhance multi-step reasoning by efficiently leveraging tools. The method separates general reasoning from domain-specific knowledge, yielding a 7.5%…