NEWS IN BRIEF: AI/ML FRESH UPDATES

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BP partners with Palantir for AI innovation

BP partners with Palantir to utilize AI for faster engineer decision-making, using language models to analyze data automatically. The British company aims to enhance efficiency by providing advice based on AI insights from its sites.

Tag Similarity: Revolutionizing Retrieval

Semantic Tag Filtering introduces a new algorithm combining semantic search with tag filtering systems. Traditional tag search lacks flexibility, but this new approach aims to expand results to non-perfect matches.

Roblox's New AI Tool: Transforming Text into 3D Game Worlds

Roblox plans to launch an open source generative AI tool for creating 3D environments with text prompts, potentially simplifying game creation. The tool, based on a "3D foundational model," allows users to input prompts like "create a race track" and "make the scenery a desert" to generate corresponding models.

The Purpose Problem: LLM Chatbots

Advancements in LLM-based chatbots are measured by benchmarks like MMLU and HumanEval. Purposeful dialogue, focusing on multi-round conversations with specific goals, could enhance user experience and collaboration with AI.

Mastering AI Workflow: 5 Pillars

Summary: The author introduces a methodology for optimized AI workflows, highlighting 5 key pillars. The focus is on metric-based optimization and interactive developer experience in building production-ready AI projects.

AI Essentials: Python QuickStart

Python is the go-to language for AI and data science projects. Learn Python basics for AI development with a beginner-friendly QuickStart guide. Coding AI projects is essential, even with tools like ChatGPT, making it easier than ever to learn.

AI Chip Rental Prices: China vs US

Chinese cloud providers offer Nvidia AI chips at $6/hour, cheaper than US at $10/hour, indicating easy access despite export restrictions. Abundant Nvidia supply in China leads to lower costs, bypassing US tech measures.

Congressional Voting Records Winnowed with JavaScript

Implementing Winnow binary classification using JavaScript on Congressional Voting Records Dataset, achieving high accuracy and using weights for predictions. The classifier accurately predicts political party based on voting records, showcasing effective binary classification with clear threshold criteria.