ReffAKD: A Machine Learning Method for Generating Soft Labels to Facilitate Knowledge Distillation in Student Models

Researchers at the Allen Institute for AI developed SPECTER2, a new scientific document embedding model that outperforms previous models like SPECTER and SciNCL. SPECTER2 uses a novel two-step training process, incorporating format-specific adapters, and is trained…

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.

Practical Solutions in Gene Editing Enhancing Precision and Efficiency Gene editing is a cornerstone of modern biotechnology, with implications across various fields. Recent innovations have enhanced precision and expanded applicability, addressing challenges in designing and conducting…

Large language models (LLMs) like CodeLlama, ChatGPT, and Codex excel in code generation and optimization tasks. Traditional sampling methods face limitations in output diversity, addressed by stochastic and beam search techniques. “Priority Sampling” by Rice University’s…

Understanding WebChoreArena WebChoreArena is a groundbreaking framework developed by researchers at the University of Tokyo to evaluate web automation agents more effectively. Unlike previous benchmarks, it focuses on tasks that require significant cognitive effort, reflecting real-world…

Google has announced new capabilities in its Vertex AI Search product that will help clinicians access accurate information about patients more easily. Vertex AI Search is an AI-powered search engine that allows doctors to ask questions…

Researchers from China have introduced a new framework called TiV-NeRF for simultaneous localization and mapping (SLAM) in dynamic environments. By leveraging neural implicit representations and incorporating an overlap-based keyframe selection strategy, this approach improves the reconstruction…

The article discusses visualizing bi-directional trade flow between countries using Python maps. It covers the process from finding coordinates of arrows to creating necessary dictionary objects, along with detailed code snippets. The author plans to demonstrate…

The author outlines five essential touchpoints for finding a balance between focus time and collaboration within a data science or data analytics team. These touchpoints include a morning standup meeting, a Friday “Work In Progress” presentation,…

Taipy is an open-source Python library designed to assist data scientists and ML engineers in developing full-stack applications. It eliminates the need to learn additional languages like HTML, CSS, or JavaScript, allowing users to focus on…

Researchers from Salus Security have introduced an AI solution called “Lightning Cat” that uses deep learning techniques to detect vulnerabilities in smart contracts. The solution utilizes optimized deep learning models, including CodeBERT, LSTM, and CNN, to…

Intersection of AI and arts, particularly music, is a significant study due to its impact on human creativity, with researchers focusing on creating music through language models. Skywork AI and Hong Kong University developed ChatMusician, outperforming…

Challenges in Building AI Agents Creating AI agents that work with various services can be tough, especially when managing authentication. Developers often find it hard to set up OAuth for Gmail or manage API keys for…

Introduction to Federated Learning in Healthcare Federated learning allows medical institutions to collaborate on training AI models while keeping patient data private. However, differences in data from various institutions can lead to challenges, such as poor…

The introduction of Large Language Models (LLMs) has brought attention to Natural Language Processing, Natural Language Generation, and Computer Vision. Researchers from Tsinghua University and Microsoft Research Asia introduced Bridge-TTS, an alternative to noisy prior models,…

The TEXT2REWARD framework is introduced by researchers from several universities and Microsoft Research. It aims to create dense reward code for reinforcement learning (RL) based on goal descriptions. By using large language models, TEXT2REWARD generates symbolic…

In the realm of software development, text-to-code AI models are revolutionizing coding, enabling developers to articulate programming needs in natural language and have AI systems generate functional code. Salesforce CodeGen facilitates conversational AI programming, CodeGeeX leverages…

This text discusses the problematic behaviors exhibited by language models (LMs) and proposes strategies to enhance their robustness. It emphasizes automated adversarial testing techniques to identify vulnerabilities and elicit undesirable behaviors. Researchers at Eleuther AI focus…

Revolutionizing Vision-Language Tasks with Sparse Attention Vectors Overview of Generative Large Multimodal Models (LMMs) Generative LMMs, like LLaVA and Qwen-VL, are great at tasks that combine images and text, such as image captioning and visual question…