Free LLM Playgrounds and Their Comparative Analysis

Introduction to EXAONEPath: A New Frontier in Digital Histopathology EXAONEPath is a groundbreaking model designed to transform digital histopathology by efficiently processing histopathology images for medical diagnostics. It reduces genetic testing time, saves costs, and enhances…

The text discusses the problem of class imbalance in machine learning and explores the use of resampling methods, specifically random oversampling, to solve it. It explains the concept of class imbalance, the impact it has on…

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…

Advancements in Deep Neural Network Training Deep Neural Network (DNN) training has rapidly evolved due to the emergence of large language models (LLMs) and generative AI. The effectiveness of these models improves with their size, supported…

Researchers introduced a Physics-informed deep learning model to predict intratumoral fluid pressure and liposome accumulation, enhancing cancer treatment strategies. The model aims for accurate drug distribution insights, addressing inconsistencies in existing nanotherapeutic approaches and improving personalized…

The Rise of Large Language Models (LLMs) Large Language Models (LLMs) have changed the way we process language. While models like GPT-4 and Claude 3 offer great performance, they often come with high costs and limited…

The text discusses the concept of applying a specific approach to a real-world scenario. For further details, please refer to the full article on Towards Data Science.

InsActor, a novel framework developed by researchers, revolutionizes physics-based character animation by bridging the gap between high-level human instructions and realistic character motions. It employs a unique two-tier approach utilizing diffusion-based human motion models, demonstrating superior…

On day two of the AI Safety Summit, UK Prime Minister Rishi Sunak announced that industry leaders such as Meta, Google Deep Mind, and OpenAI have agreed to allow government evaluation of their AI tools before…

Advancements in Natural Language Processing (NLP) rely on large language models (LLMs) for tasks like machine translation and content summarization. To address the computational demands of LLMs, a hybrid approach integrating LLMs and small language models…

Large language models are proving to be valuable across various fields like health, finance, and entertainment due to their training on vast amounts of data. Eagle 7B, a new ML model with 7.52 billion parameters, represents…

The text is a collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business, discussing the integration of artificial intelligence and machine learning into systems and processes. It emphasizes the challenges of…

SampleAttention: Practical Solution for LLMs Addressing Time-to-First-Token Latency Large language models (LLMs) with long context windows face prolonged Time-to-First-Token (TTFT) latency due to the quadratic complexity of standard attention. Existing solutions often compromise accuracy or require…

Introduction to Claude 3.5 Sonnet Anthropic AI has launched Claude 3.5 Sonnet, a new AI model available for free on Claude.ai and the Claude iOS app. It is accessible via the Anthropic API, Amazon Bedrock, and…

Researchers have developed an open-source library in JAX for deep learning on spherical surfaces. This new approach, utilizing spherical convolution and cross-correlation operations, shows promise in addressing challenges related to predicting chemical properties and understanding climate…