Artificial Intelligence
Meta has proposed a new approach called System 2 Attention (S2A) to address the issue of bias and irrelevant context in large language models (LLMs). S2A uses natural language processing to refine the original prompt, stripping out bias and irrelevant information before generating a response. The results show impressive improvements in accuracy, particularly in factual…
The value of data lies in its ability to bring about tangible positive change. Leveraging data can help solve complex business decisions and improve everyday routines. Here are some recent favorite articles that demonstrate the practical role of data in different areas, such as survival analysis, decision trees, personal habit tracking, customer lifetime value modeling,…
Lincoln Laboratory is focused on reducing energy consumption in AI models through improved transparency and more efficient training methods.
Follow these simple steps to cancel your Midjourney subscription: 1. Go to the Midjourney account page at https://www.midjourney.com/account/. 2. Log in to your account. 3. Access the Manage Subscriptions section. 4. Click on the Edit Billing option. 5. Confirm the cancellation by clicking on the Cancel Plan button. 6. Your subscription will be canceled at…
OpenAI-Altman saga continues with the firing of Sam Altman. Sources suggest that the reason behind his dismissal is an AI model known as Q*, which is believed to be powerful enough to threaten humanity. Q* combines elements of Q-learning and A* search algorithms and is optimized through Reinforcement Learning from Human Feedback. However, the claims…
Elon Musk has announced the upcoming release of Grok, xAI’s new chatbot, for X Premium+ subscribers. This integration with X signifies Musk’s larger vision for the platform, aiming to transform it into a versatile application. Grok stands out with its ability to stay updated on current events and trends, as well as its user-friendly and…
Real AI has been chosen to build Europe’s first-ever Human-Centered LLM on the LEONARDO AI Computer Cluster. LEONARDO is the fourth largest AI cluster in the world and Real AI aims to provide responsible AI development by collaborating with UNINA and LEONARDO. The project, called HOMINIS, aims to revolutionize AI by creating ethical, bias-free systems…
A Finnish AI startup called Poro has developed an open-source language model designed to cover all 24 official languages of the European Union. Poro uses cross-lingual training and has 34.2 billion parameters. It outperforms existing models for Finnish and aims to match or surpass English performance. The startup believes that Poro is important for digital…
Mirasol3B is a multimodal autoregressive model developed by Google that addresses the challenges of machine learning across different modalities. It uses a unique architecture to handle time-aligned and non-aligned modalities, such as video, audio, and text. The model achieves impressive performance by employing cross-attention mechanisms and intelligent partitioning of video inputs. Mirasol3B outperforms other models…
This article discusses the importance of effective management of big data in cloud-based storage solutions. It introduces the rclone command-line utility as a tool for cloud-based storage management and compares its performance to other tools. The article also highlights the capability of rclone for transferring data between different object storage systems, providing a convenient and…
Decision trees are often replaced with random forests, but this prioritizes a “black box” algorithm. Decision trees provide intuitive results and allow for trade-off comparisons and process improvement. To improve decision tree performance, principal component analysis (PCA) can be applied to optimize feature data and reduce the feature space. This improves performance and generalizability.
The research paper discusses the latent space of diffusion models in Artificial Intelligence and Machine Learning, particularly in the context of image modification. The authors propose integrating local geometry into the latent space using the pullback metric from Riemannian geometry. This enables image editing at specific timesteps without additional training. The study explores the evolution…
The article discusses the importance of understanding computer vision and building a Convolutional Neural Network (CNN) from scratch using Python library Numpy. It covers the main components of a CNN, such as convolutional layers and pooling layers, and provides Python implementations for these layers. The article also includes code examples and references for further learning.
Psychologists are studying the use of EEG to explore how games provide insights into our capacity for teamwork.
Microsoft Research has introduced Florence-2, a vision foundation model that aims to achieve a unified prompt-based representation for various computer vision and vision-language tasks. It addresses challenges related to spatial hierarchy and semantic granularity by integrating spatial, temporal, and multi-modal features. The model achieves state-of-the-art performance in tasks such as referencing expression comprehension, visual grounding,…
This text discusses a method for segmenting product features into Core, Power, and Casual categories based on retention rates. The author emphasizes the importance of considering both the qualitative (value) and quantitative (popularity) metrics when analyzing feature retention. By applying percentile thresholds, the author identifies nine clusters of product features and provides insights on each…
Nvidia reported a historic high third-quarter revenue of $18.12 billion, surpassing predictions and driving its market cap to $1.22 trillion. The company experienced significant growth in gaming revenue and data center revenue, as well as gains in its Professional Visualization and Automotive business units. Despite US export restrictions, Nvidia remains confident in its ability to…
The GPT-Vision model, which has generated excitement for its ability to understand and generate content related to text and images, lacks a clear understanding of its strengths and limitations. To address this, researchers from the University of Pennsylvania have proposed a new evaluation method inspired by social science and human-computer interaction. This method involves five…
MIT researchers have developed PockEngine, a technique that allows deep-learning models to be fine-tuned directly on edge devices. This eliminates the need for sending user data to cloud servers and improves privacy, customization options, and cost-effectiveness. PockEngine has shown impressive speed improvements and memory savings, making on-device fine-tuning more accessible.
Alibaba researchers have developed Qwen-Audio, a series of large-scale audio-language models that address the challenge of limited pre-trained audio models. Qwen-Audio achieves impressive performance across diverse benchmark tasks without task-specific fine-tuning. Qwen-Audio-Chat extends these capabilities to support multi-turn dialogues and diverse audio scenarios. The models demonstrate robust audio understanding and alignment with human intent. Further…