Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced Function Calling, and Seamless Conversational Intelligence

NVIDIA AI Launches AgentIQ: A Solution for Optimizing AI Agent Teams Introduction As businesses increasingly adopt intelligent systems powered by AI agents, they face challenges related to interoperability, performance monitoring, and workflow management. These issues can…

Understanding the Target Audience for VeBrain The primary audience for VeBrain includes AI researchers, robotics engineers, and tech industry leaders. These professionals are in search of innovative solutions to enhance the capabilities of robots across various…

Understanding Agency in AI What is Agency? Agency is the ability of a system to achieve specific goals. This study highlights that how we assess agency depends on the perspective we use, known as the reference…

Google Quantum AI is conducting collaborative research to identify problems where quantum computers outperform classical ones and design practical quantum algorithms. Recent endeavors involve studying enzyme chemistry, exploring alternatives for lithium-ion batteries, and modeling materials for…

Post-Training for Large Language Models (LLMs) Understanding Post-Training: Post-training enhances LLMs by fine-tuning their performance beyond initial training. This involves techniques like supervised fine-tuning (SFT) and reinforcement learning to meet human needs and specific tasks. The…

Scientists have potentially found a method to modify AI hardware by replicating human brain synapses.

L1 and L2 regularization are techniques used in machine learning to prevent overfitting. Overfitting occurs when a model is too complex and learns from both the underlying patterns and the noise in the training data, resulting…

Researchers from McMaster University and FAIR Meta have developed a new machine learning technique called orbital-free density functional theory (OF-DFT) for accurately replicating electronic density in chemical systems. The method utilizes a normalizing flow ansatz to…

Revolutionizing Image Classification with Large CNNs on ImageNet Dataset Practical Solutions and Value: – **Innovative Model**: Developed a large CNN for image classification with 60 million parameters and 650,000 neurons. – **Efficient Training**: Achieved top-1 and…

This text provides instructions on how to calculate Tfidf values manually and using the sklearn library for Python. It can be found on the Towards Data Science website.

New studies suggest that the brain employs a self-supervised learning process that resembles machine learning. This process enables the brain to learn about visual scenes by identifying their similarities and differences, without relying on labels or…

Deep reinforcement learning aims to teach agents to achieve goals using a balance of exploration and known strategies. The challenge lies in effectively scaling model parameters, which often underutilize the capacity of neural networks. Researchers have…

Nvidia Publishes A Competitive Llama3-70B Quality Assurance (QA) / Retrieval-Augmented Generation (RAG) Fine-Tune Model In the rapidly evolving field of Natural Language Processing (NLP), advanced conversational Question-Answering (QA) models are reshaping human-computer interaction. Nvidia recently introduced…

Practical Insights into Knowledge Distillation for Model Compression Introduction Many computer vision tasks are dominated by large-scale vision models, which often exceed hardware capabilities. Google Research Team focuses on reducing the computational costs of these models…

Understanding Biomolecular Interactions Studying how biomolecules interact is essential for drug discovery and protein design. Traditionally, finding the 3D structure of proteins required expensive and lengthy lab work. However, AlphaFold3, launched in 2024, changed the game…

Elon Musk’s startup xAI will release its first AI products on November 4th to a select group. Musk claims that in “important respects,” xAI surpasses all existing AI. xAI aims to understand the true nature of…

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…