NEWS IN BRIEF: AI/ML FRESH UPDATES

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Community-Centric Data Design

MIT Associate Professor Catherine D’Ignazio applies data to social issues, empowering citizens with data-driven arguments. Her work on feminicide led to innovative AI tools and a book, "Counting Feminicide," raising awareness globally.

Enhancing OCR Accuracy with Open-Source LLMs

Open Food Facts uses Machine Learning to enhance its food database by reducing unrecognized ingredients, improving data accuracy. The project showcases the success of creating a custom model, outperforming existing solutions by 11%.

Unlocking the Power of Multimodal Embeddings

Multimodal embeddings merge text and image data into a single model, enabling cross-modal applications like image captioning and content moderation. CLIP aligns text and image representations for 0-shot image classification, showcasing the power of shared embedding spaces.

Media giants take on OpenAI in billion-dollar lawsuit

Major news organizations in Canada are suing OpenAI for allegedly using their articles to train ChatGPT without permission. The lawsuit seeks punitive damages and a share of profits, demanding an injunction against future use of the articles.

Unlocking the Secrets of LLMs.txt

LLMs.txt is a new web standard optimized for reasoning engines, gaining rapid adoption thanks to Mintlify's support. Co-founder Jeremy Howard proposed LLMs.txt to help AI systems understand website content more efficiently.

Revolutionizing Vector Compression with ft-Q

Quantization limits are being pushed with ft-Quantization, a new approach to address current algorithm limitations. This memory-saving technique compresses models and vectors for retrieval, popular in LLMs and vector databases.