Top Artificial Intelligence Books to Read in 2024
Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. With such…
Meet Open Interpreter: An Open-Source Project that Lets GPT-4 Execute Python Code Locally
Accessing and utilizing computer capabilities efficiently is crucial in today’s fast-paced digital world. However, many existing solutions have limitations, such as restricted internet access, limited pre-installed packages, and strict runtime…
Evaluating LLM Compression: Balancing Efficiency, Trustworthiness, and Ethics in AI-Language Model Development
LLMs have shown remarkable capabilities but are often too large for consumer devices. Smaller models are trained alongside larger ones, or compression techniques are applied to make them more efficient.…
Hume AI announces $50 Mn Fundraise and Empathic Voice Interface
Hume AI launches world’s first Empathic Voice Interface, enabling developers to integrate an emotionally intelligent AI voice into applications across health and wellness, AR/VR, customer service call centers, healthcare and…
Researchers from Tsinghua University Proposes a Novel Slide Loss Function to Enhance SVM Classification for Robust Machine Learning
In machine learning, one method that has consistently demonstrated its worth across various applications is the Support Vector Machine (SVM). Known for its adeptness at parsing through high-dimensional spaces, SVM…
The Role of Symmetry Breaking in Machine Learning: A Study on Equivariant Functions and E-MLPs
Symmetry is a fundamental characteristic where an object remains unchanged under certain transformations and is a key inductive bias that enhances model performance and efficiency. Therefore, understanding and leveraging the…
This AI Paper from Microsoft Present SiMBA: A Simplified Mamba-based Architecture for Vision and Multivariate Time Series
Language models’ evolution is shifting from Large Language Models (LLMs) to the era of Small Language Models (SLMs). At the core of both LLMs and SLMs lies the power of…
Researchers at Stanford University Expose Systemic Biases in AI Language Models
In a new AI research paper, a team of researchers from Stanford Law School has investigated biases present in state-of-the-art large language models (LLMs), including GPT-4, focusing particularly on disparities…
TOXCL: A Unified Artificial Intelligence Framework for the Detection and Explanation of Implicit Toxic Speech
On social media, toxic speech can spread like wildfire, targeting individuals and marginalized groups. While explicit hate is relatively easy to flag, implicit toxicity – which relies on stereotypes and…
Researchers at Microsoft Propose AllHands: A Novel Machine Learning Framework Designed for Large-Scale Feedback Analysis Through a Natural Language Interface
In today’s digital age, software developers and product teams are inundated with user feedback from various channels – app reviews, forum posts, social media comments, and more. This wealth of…