3 Ways to Run Llama 3 on Your PC or Mac

The InternLM2-Math-Plus: Advancing Mathematical Reasoning with Enhanced LLMs Introduction The InternLM research team focuses on developing large language models (LLMs) tailored for mathematical reasoning and problem-solving. These models aim to enhance artificial intelligence’s capabilities in handling…

Perplexity AI, a revolutionary search engine, raised $73.6 million in funding, increasing its valuation to $520 million. The investment, led by IVP and involving influential tech leaders like Jeff Bezos, signifies strong endorsement. With an innovative…

Panda-70M is a large-scale video dataset with high-quality captions, developed to address challenges in video captioning, retrieval, and text-to-video generation. The dataset leverages multimodal inputs and teacher models for caption generation and outperforms others in efficiency…

Practical AI Solutions for Improving Reasoning Tasks in Language Models Iterative Preference Optimization Harness the power of Iterative Preference Optimization to enhance reasoning tasks in Language Models. Our approach delivers substantial enhancements in reasoning capabilities without…

The article provides an overview of streaming data and its importance, particularly for tracking the International Space Station (ISS). It explains the process of retrieving ISS telemetry data using Python and Plotly Express, including details on…

Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches GPT-4 Performance Level Practical Solutions and Value Arcee-Nova, a groundbreaking open-source AI, excels in various domains and offers advanced capabilities, rivaling some…

Understanding the Components of a Multi-Tool AI Agent In recent years, artificial intelligence has taken significant strides, becoming a cornerstone of modern technology applications. This article explores how you can create a multi-tool AI agent using…

CQuotient, a software startup founded by Rama Ramakrishnan, offers personalized recommendations for retailers by diligently noting down customer interactions. The software has been adopted by Salesforce. Ramakrishnan, now a professor at MIT Sloan, teaches students how…

Vector databases, originating from 1960s information retrieval concepts, have evolved to manage diverse data types, aiding Large Language Models (LLMs). They offer foundational data management, real-time performance, application productivity, semantic understanding integration, high-dimensional indexing, and similarity…

The #30DayMapChallenge is a community-driven event that takes place every November. Participants create maps around different daily themes using various tools and data. This article shares examples of geo visualizations created by the author using Observable…

The Rise of Multimodal Large Language Models Artificial Intelligence continues to evolve, with multimodal large language models (MLLMs) at the forefront of this transformation. By combining text and visual inputs, these models enhance user interaction and…

Researchers at Cohere have introduced a pioneering development in the Mixture of Experts (MoE) architecture, addressing scalability issues in AI models. The innovative MoE variant demonstrates superior parameter efficiency, outperforming traditional techniques in fine-tuning instructions. Their…

Summary: The Dyson Robotics Lab addresses the challenge of scalable view synthesis by proposing a shift towards learning general 3D representations based on scene colors and geometries, introducing EscherNet, an image-to-image conditional diffusion model. EscherNet showcases…

The text explores a numerical optimization technique and emphasizes its geometric interpretation. (14 words)

Lotus: A Diffusion-based Visual Foundation Model for Dense Geometry Prediction Practical Solutions and Value: Dense geometry prediction in computer vision is crucial for robotics, autonomous driving, and augmented reality applications. Lotus, a novel model, improves accurate…

Understanding Long-Context Language Models (LLMs) Large language models (LLMs) have transformed many areas by improving data processing, problem-solving, and understanding human language. A key innovation is retrieval-augmented generation (RAG), which enables LLMs to pull information from…

Introduction to Building an AI Code-Analysis Agent with Griffe In today’s fast-paced technology landscape, effective code analysis is crucial for software developers, data scientists, and technical managers. This article explores how to harness Griffe, a powerful…

NYU and Google AI researchers demonstrate LLMs’ deductive reasoning using in-context learning and chain-of-thought prompting. They explore LLMs’ ability to generalize to more intricate proofs and identify that in-context examples with unfamiliar deduction principles promote better…

The text discusses various optimization algorithms that can be used to improve the training of neural networks beyond the traditional gradient descent algorithm. These algorithms include momentum, Nesterov accelerated gradient, AdaGrad, RMSProp, and Adam. The author…