NEWS IN BRIEF: AI/ML FRESH UPDATES

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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.

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.

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.

AI Recipe Fails: A Taste Test Disaster

AI is now writing cookbooks like Teresa J Blair's, with catchy titles and mouthwatering recipes. In just over a week, Teresa published four books, raising the question: Can AI truly replicate human chefs?

AI Humility: Preventing Overconfidence in Wrong Answers

Researchers from MIT and the MIT-IBM Watson AI Lab have developed Thermometer, a calibration method tailored to large language models, ensuring accurate and reliable responses across diverse tasks. Thermometer involves building a smaller model on top of the LLM, preserving accuracy while reducing computational costs, ultimately providing users with clear signals to determine a model's reliability.

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.

ChatGPT wows testers with advanced voice mode

OpenAI introduces Advanced Voice Mode for ChatGPT Plus subscribers, enabling natural, real-time conversations with AI. Users impressed by feature's responsiveness, emotional cues, and realistic voice simulations.

Rising Scam Threat: Brace Yourself

AI is making it easier for scammers to fool anyone, even tech-savvy individuals like Arwa Mahdawi in NYC. The story highlights the growing sophistication of AI in perpetuating scams, posing a challenge for individuals to stay vigilant.

Measuring Success: Classification Model Metrics

Machine learning model predictions in credit card fraud detection evaluated using confusion matrix and metrics. Understanding true positives, false positives, false negatives, and true negatives crucial for model performance assessment.

Revolutionizing Japanese LLMs with AWS Trainium

AWS Japan's LLM Development Support Program aids innovative companies in leveraging large language models (LLMs) to drive progress and boost productivity. Ricoh's bilingual LLM training strategy showcases how organizations are transforming possibilities with generative AI on AWS.

Tech Stocks: AI Boom Debate

Investors show uncertainty in tech stocks as Nvidia and Microsoft shares dip, while other chip stocks rise. Fears of overblown AI excitement lead to Nvidia's 7% drop, raising concerns over the direction of growth for key companies.