NEWS IN BRIEF: AI/ML FRESH UPDATES

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Master Winnow Classification with C# in Visual Studio

The October 2024 Microsoft Visual Studio Magazine article demonstrates Winnow algorithm binary classification using Congressional Voting Records Dataset. Winnow model training involves adjusting weights based on predicted vs. actual outcomes, with alpha value usually set at 2.0.

Mastering LLMs with Middle School Math

Article explains inner workings of Large Language Models (LLMs) from basic math to advanced AI models like GPT and Transformer architecture. Detailed breakdown covers embeddings, attention, softmax, and more, enabling recreation of modern LLMs from scratch.

Building Real-World RAGs: Lessons from GenAIIC

AWS GenAIIC helps customers with generative AI, focusing on Retrieval-Augmented Generation (RAG) for chatbots. RAG architecture involves retrieval, augmentation, and generation, with a key emphasis on optimizing the retriever for efficient document ingestion.

Optimizing ML Models: The Power of Chaining

ML metamorphosis, a process chaining different models together, can significantly improve model quality beyond traditional training methods. Knowledge distillation transfers knowledge from a large model to a smaller, more efficient one, resulting in faster and lighter models with improved performance.

Maximize Call Analytics with Amazon Q in QuickSight

Amazon Web Services offers AI solutions like Post Call Analytics to enhance customer service by providing actionable insights from call recordings. Amazon Q in QuickSight enables users to easily analyze post-call data and generate visualizations for data-driven decisions.

Supercharge Your LLMs on RTX with LM Studio

Large language models (LLMs) are transforming productivity with tasks like drafting documents and answering questions. NVIDIA RTX GPUs enable local running of LLMs, optimizing AI acceleration and performance with GPU offloading and LM Studio.

Yorke, Moore, and Creators Unite Against AI Threat

Abba’s Björn Ulvaeus, Julianne Moore, and Thom Yorke join 10,500 signatories warning AI companies against unlicensed use of creative work. Legal battles escalate over use of intellectual property to train AI models like ChatGPT.

Revolutionizing ML: Relational Deep Learning

Engage in Relational Deep Learning (RDL) by directly training on your relational database, transforming tables into a graph for efficient ML tasks. RDL eliminates feature engineering steps by learning from raw relational data, enhancing model performance and granularity.