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Transforming Web Data with Browse AI

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  • 840 min read
  • 2024-03-26 12:22:47

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👋 Hello,

Welcome to DataPro#85 – Your one-stop shop for the latest in Data Science and ML Algorithms! 🚀 

In this issue:

⚙️ Keeping Up with LLMs & GPTs  

Spyx by Sussex AI: Turbocharging spiking neural networks with just-in-time compiled optimization. 

code generation in 2024. 

Setting up a revolutionizing web browsing. 

Cappy, evolving tables with Leadership continuity and Share your Feedback!

Cheers,
Merlyn Shelley
Editor-in-Chief, Packt

deepseek-ai/DeepSeek-VL: Open-source Vision-Language (VL) model for real-world tasks, handling logical diagrams, web pages, formulas, scientific literature, and more. 

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🛠️ cnulab/RealNet: RealNet introduces SDAS for anomaly strength control, AFS for feature selection, and RRS for anomaly region identification. 

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Chain-of-table: Evolving tables in the reasoning chain for table understanding. This research focuses on improving how large language models (LLMs) reason over tabular data, which is challenging due to the structured nature of tables. The proposed framework, Chain-of-Table, trains LLMs to iteratively update tables, mimicking human reasoning, resulting in improved performance on table understanding tasks. 

🌀 Global news partnerships: Le Monde and Prisa Media: OpenAI has partnered with Le Monde and Prisa Media to bring French and Spanish news content to ChatGPT. This partnership aims to enhance user interaction with news content and contribute to the training of OpenAI's models. Through these partnerships, users will access summaries and links to original articles, expanding their news consumption experience. This collaboration supports the news industry and its role in providing reliable information globally. 

major tools and repositories like Kaggle, Hugging Face, and OpenML. It includes a specification, example datasets, a Python library, and a visual editor to facilitate dataset usage and publication. 

🌀 Spyx, a new lightweight SNN simulation and optimization library designed in JAX, aims to facilitate SNN architecture investigation by bridging Python-based deep learning frameworks with custom compute kernels, achieving optimal hardware utilization. 

🌀 Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. Chatbot Arena is an open platform designed to evaluate Large Language Models (LLMs) by considering human preferences. Utilizing a pairwise comparison method and crowdsourced input, it assesses LLMs' alignment with user preferences. The platform, operational for months with over 240K votes, provides a credible and valuable resource for ranking LLMs. model weights, and evaluation benchmarks. You can check for the Custom pre-commit hooks for safer code changes: This blog post explains the importance of using pre-commit hooks in software development, particularly with the git version control system. It discusses the challenges of maintaining coding standards in collaborative projects and provides a step-by-step tutorial on how to set up and use custom pre-commit hooks for a Python project, using the example of validating dataflow definitions for the Hamilton library. 

🌀 Running RStudio Inside a Container: This tutorial focuses on setting up RStudio using Docker, particularly leveraging the PyTorch and MLX for Apple Silicon: The blog discusses Apple's MLX framework, which is optimized for Apple Silicon and serves as a bridge between PyTorch, NumPy, and Jax. It details a comparison between MLX and PyTorch through a custom convolutional neural network implementation for image classification tasks. The discussion includes insights into MLX's features, such as its array class, lazy computation, and compilation for performance optimization. The post also highlights the ease of converting PyTorch code to MLX, despite some differences in API compatibility and coding conventions. 

See you next time!

Affiliate Disclosure: This newsletter contains affiliate links. If you buy through them, we may earn a small commission at no extra cost to you. This supports our work and helps us keep providing useful content. We only recommend products and services we think will benefit our readers. Thanks for your support! 

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