NEWS IN BRIEF: AI/ML FRESH UPDATES

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Mastering LLM Applications: 8 Prompt Engineering Tips

LLM-native app success relies on effective prompt engineering. Follow 8 tips informed by LLM Triangle Principles for optimal results. Clear cognitive process boundaries and specified input/output structures are key to enhancing LLM applications.

Creating GenAI Agents: Autogen vs. LangGraph

GenAI models can automate business processes using agents, combining LLMs with real-time data sources like the NWS API. Autogen, an open-source framework by Microsoft, facilitates the creation of agents for tasks like answering weather-related questions using geocoding and API integration.

Revolutionizing Insurance Underwriting with Generative AI

Underwriters play a crucial role in the insurance industry, using AI solutions like Amazon Bedrock to enhance the underwriting process. Challenges in document understanding include rule validation, adherence to guidelines, and decision justification, impacting insurer profitability and risk management.

Video Game Actors Protest AI Use in Hollywood

Over 300 performers picket at Warner Bros Studios against top gaming companies for neglecting union workers' protection. AI poses a significant challenge in negotiations, says Sag-Aftra national executive director.

AI in Argentina: Predicting Crimes or Violating Rights?

Argentina's President Javier Milei establishes AI security unit to predict crimes using machine-learning algorithms and facial recognition software, sparking concerns over citizens' rights. The unit will analyze historical crime data, patrol social media, and monitor security camera footage for suspicious activities.

New Bill Extends Digital Replication Rights for 70 Years After Death

Senators Coons, Blackburn, Klobuchar, and Tillis introduce the NO FAKES Act to combat unauthorized AI-generated replicas of voices and likenesses. Legislation aims to hold individuals and companies accountable for creating and sharing digital replicas without consent, addressing concerns over the rise of generative AI technology.

Optimizing GPT-2: Hardware Edition

Summary: Learn how to optimize hardware for faster GPT-2 training on NVIDIA GPUs, with insights on timing code and setting batch sizes for maximum efficiency. Achieve significant speed gains (up to 10x) using an Ampere-series Nvidia GPU.

Supercharging AI with NVIDIA's RTX-Powered Tools

NVIDIA showcases latest AI technologies at SIGGRAPH, including interactive digital human "James" powered by NVIDIA ACE. RTX GPUs drive immersive experiences and AI advancements for creators with enhanced content-creation tools like RTX Video HDR.

Revolutionizing Home Robotics with Real-to-Sim Learning

MIT CSAIL researchers developed RialTo, a system that creates digital twins for training robots in specific environments faster and more effectively. RialTo improved robot performance by 67% in various tasks, handling disturbances and distractions with ease.

Striving for Gold: Olympic Performance Optimization

MIT startup Striv developed tactile sensing technology for shoe inserts, used by elite athletes like USA marathoner Clayton Young and Jamaican Olympian Damar Forbes. Founder Axl Chen aims to bring this tech to the public after Paris 2024 Olympics, following success in VR gaming and interest from various industries.