Neural Basis Models for Interpretability

The Law of AI: Addressing Legal Challenges in AI Technology Proposing Objective Standards for Regulating AI As AI technology becomes more prevalent, legal frameworks face challenges in assigning liability to entities lacking intentions. The paper from…

PB-LLM is an innovative approach for extreme low-bit quantization in Large Language Models (LLMs) while preserving language reasoning capabilities. It strategically filters salient weights during binarization, introduces post-training quantization (PTQ) and quantization-aware training (QAT) methods, and…

Challenges in Leveraging AI for Enterprises As artificial intelligence evolves, businesses encounter several challenges when trying to utilize it effectively. They need AI models that are: Adaptable to their specific needs Secure to maintain compliance and…

Understanding Generative Agents Generative agents are AI models designed to mimic human behavior and attitudes in various situations. They help us understand how people interact and can be used to test theories in fields like sociology,…

Practical Solutions for Time Series Analysis Introducing Darts: A New Python Library for User-Friendly Forecasting and Anomaly Detection on Time Series Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and…

Google Bard introduces an AI image generator leveraging Imagen 2, enabling users to create images from text descriptions. Accessible in the United States, it prompts users to describe the desired image, providing a straightforward and free…

Amazon’s AI chatbot, Amazon Q, has allegedly leaked sensitive internal information including AWS data centers and unreleased features. While Amazon denies security breaches, internal Slack communications show employee concerns. This leak is unconfirmed but follows past…

Evaluating Generative AI Systems Made Simple Evaluating generative AI systems is often complicated and resource-heavy. As generative models quickly develop, organizations face challenges when trying to systematically assess various models, like Large Language Models (LLMs) and…

Understanding Static Analysis and Its Challenges Static analysis is essential in software development for finding bugs, optimizing programs, and debugging. However, traditional methods face two main issues: Inflexibility: They struggle with incomplete or rapidly changing code.…

Ai Bloks has announced the open-source launch of its development framework, llmware, for building enterprise-grade LLM-based workflow applications. They have also released the DRAGON series of 7B parameter LLMs, designed for fact-based question-answering for complex business…

Welcome to Anthropic AI’s New Console! Say goodbye to frustrating AI outputs. Anthropic AI has introduced a new console that empowers developers to take control of their AI applications. Key Features of Anthropic Console: Interact with…

7 Emerging Generative AI User Interfaces: How Emerging User Interfaces Are Transforming Interaction The Chatbot Chatbots like ChatGPT, Claude, and Perplexity simulate human-like interactions, offering tasks such as answering queries, providing recommendations, and assisting with customer…

Enhancing Education with AI Tools Real-Time Support for Tutors Integrating Artificial Intelligence (AI) in education can significantly improve teaching and learning, especially where experienced educators are scarce. One effective solution is using Language Models (LMs) that…

Neural networks, while effective approximators within a dataset, struggle with extrapolation. ReLU networks exhibit linear behavior far from the dataset, making them unsuitable for time series extrapolation. Sigmoid or tanh-based networks behave like constant functions away…

Understanding the Growth of AI in Vision and Language Artificial intelligence (AI) has made remarkable progress by combining vision and language capabilities. This allows AI systems to understand and create information from various sources such as…

Understanding Knowledge Distillation in AI Knowledge distillation is a vital technique in artificial intelligence that helps transfer knowledge from large language models (LLMs) to smaller, more efficient models. However, it faces some challenges that limit its…

In September 2022, former Google AI experts Noam Shazeer and Daniel De Freitas released Character.AI, an advanced chatbot. By May 2023, the app had over 1.7 million downloads and high user engagement. As of 2024, it…

The development of Large Language Models (LLMs) with billions of parameters in the field of Artificial Intelligence has posed challenges in deployment due to high costs and memory constraints. A team of researchers has introduced LLM…