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...
Prompts
Meta Launches Llama-3 Powered Meta AI Chatbot Assistant to Compete with ChatGPT
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...
Unlocking the Recall Power of Large Language Models: Insights from the Needle-in-a-Haystack Test
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...
Meet the Zamba-7B: Zyphra’s new AI model that’s small in size and big on performance
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...
Stanford researchers propose a family of representation adaptation (ReFT) methods that operate on a frozen base model and learn task-specific interventions on hidden representations
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...
Google AI introduces an efficient machine learning method for scaling large transformer-based language models (LLMs) on infinitely large inputs
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...
Grok-1.5 Vision: Elon Musk’s x.AI Sets New Standards in Artificial Intelligence with Groundbreaking Multimodal Model
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 AI Unveils Rerank 3: A State-of-the-Art Model Designed to Optimize Enterprise Search and RAG (Retrieval Augmented Generation) Systems
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...
15 Short Artificial Intelligence (AI) Courses for DeepLearning.AI
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...
Google AI unveils CodeGemma: A set of open source models built on top of Gemma capable of a variety of code generation and natural language tasks
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...
OpenAI vs. Vertex AI: Comparing Two Artificial Intelligence (AI) Powerhouses in 2024
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...
API strategies for effective database management and integration
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-Qwen Releases Qwen1.5 32B: A New Multilingual Dense LLM with 32k and Mixtral Framework Outperforms Open LLM Leaderboard
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...
Meet SWE-Agent: An open source software engineering agent that can fix bugs and issues in GitHub repositories
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...
This AI study navigates pre-training in a large language model (LLM) with downward capability analysis
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...
ETH Zurich researchers reveal new ideas for artificial intelligence synthetic learning through modular hypernetworks
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...
Top ChatGPT Books to Read in 2024
Since its inception, ChatGPT has taken the world by storm, ushering in the era of genetic artificial intelligence. Although large language models (LLM) were developed before the release of ChatGPT, the ease of accessibility and user-friendly interface of the latter...
Mistral AI Releases Mistral 7B v0.2: A Breakthrough Open Source Language Model
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...
Google AI Introduces AutoBNN: A New Open Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models
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...
Researchers at the University of Maryland propose a unified machine learning framework for continuous learning (CL)
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....
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...
This Microsoft Research Proposes PRISE: A New Machine Learning Method for Learning Multitasking Temporal Action Abstraction that Leverages a New Connection to NLP Methodology
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...