Prompts

The recent success of fine-tuning the teaching of pre-trained Large Language Models (LLMs) for later tasks has attracted considerable interest in the Artificial Intelligence (AI) community. This is because it allows models to align with human tastes. In order to...

Meta has officially introduced its new AI assistant, an AI chatbot called Meta AI, powered by Meta's latest and most capable open source LLM, Meta Llama 3. From the big boom in AI chatbot popularity with ChatGPT of OpenAI, almost every major organization wants you to...

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...

In the race to create more efficient and powerful AI models, Zyphra has revealed a breakthrough with its new Model Zamba-7B. This compact 7 billion parameter model not only competes with larger, more resource-intensive models, but also introduces a new architectural...

Pretrained language models (LMs) are usually fine-tuned to adapt them to new domains or tasks, a process known as micro-tuning. While refinement allows adaptation to various functions with small amounts of in-domain data, it can be prohibitively expensive for large...

Memory is important to intelligence as it helps recall past experiences and apply them to current situations. However, due to the way their attention mechanism works, both conventional Transformer models and Transformer-based Large Language Models (LLMs) have...

Elon Musk's research lab, x.AI, presented a new model of artificial intelligence called Grok-1.5 Vision (Grok-1.5V) which has the potential to significantly shape the future of artificial intelligence. Grok-1.5V is a multimodal model that combines visual and...

Cohere, an emerging leader in artificial intelligence, has announced its launch Reclassification 3, the latest foundation model specifically designed to enhance Augmented Generation (RAG) enterprise search and retrieval systems. This development promises a significant...

DeepLearning AI offers a variety of short courses designed to enhance your skills in genetic AI and other AI technologies. These courses are designed to provide students with the right knowledge, tools, and techniques needed to excel in artificial intelligence. Here's...

In a major move for the world of artificial intelligence and software development, Google has launched CodeGemma, a groundbreaking suite of large language models (LLMs) dedicated to code generation, understanding, and command tracing. Developed to make high-quality...

As of 2024, OpenAI and Vertex AI are two of the most important titans in the AI ​​field. These platforms, backed by leading technology giants, showcase their unique strengths and applications in artificial intelligence, fueling developments and providing tools for...

Application Programming Interface (API) strategies are critical to effective database management and integration. In today's fast-paced digital landscape, where organizations operate across multiple databases and applications, seamlessly integrating these elements is...

Alibaba's AI research division has unveiled the latest addition to its Qwen language model line – the Qwen1.5-32B – in a remarkable step towards balancing high-performance computing with resource efficiency. With its 32 billion parameters and impressive 32k token...

Fixing bugs and problems in code repositories can be difficult in software engineering. Imagine you encounter a bug in a GitHub repository and you don't know how to fix it! While some solutions are available to help with this problem, they may not always be effective...

Large language models (LLMs) have become extremely popular as they can perform complex reasoning tasks in a variety of domains, including creative writing and programming. However, they are computationally expensive to construct and optimize, especially when...

From a young age, people display an incredible ability to recombine their knowledge and skills in new ways. A child can effortlessly combine running, jumping and throwing to invent new toys. A mathematician can flexibly recombine basic mathematical operations to solve...

In the rapidly evolving landscape of artificial intelligence, his introduction Mistral AIits latest innovation, Mistral 7B v0.2, heralds a major advance in open source language models. This edition not only sets new benchmarks for performance and efficiency, but also...

They released GoogleAI researchers AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes. Traditional Bayesian approaches such as Gaussian processes (GPs) and structural time series have not been able to overcome...

Continuity learning (CL) is a method that focuses on gaining knowledge from dynamically changing data distributions. This technique mimics real-world scenarios and helps improve a model's performance as it encounters new data while preserving previous information....

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...

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...

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...

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....

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...

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...

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...

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...

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...

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...

Since its inception, robotics has made significant strides, with robots now widely used in many industries, including home monitoring and electronics, nanotechnology, aerospace, and many others. These robots are able to process complex, high-dimensional data and...