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.

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.

Maximize LLMs with AWS Glue for Apache Spark

Large Language Models (LLMs) are versatile, with potential to transform content creation and search engines. Retrieval Augmented Generation (RAG) optimizes LLM output by referencing external knowledge bases, enhancing relevance and accuracy.

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.

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.

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.

The Power of Agentic AI

AI chatbots use generative AI for responses. Agentic AI autonomously solves complex problems, improving productivity across industries.

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.