From AI in Olympics, Meta's groundbreaking Llama model challenging GPT-4 to AI safety concerns #69

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AI: The New Gold Medalist?

Artificial intelligence is set to redefine the Paris 2024 Olympics. From athlete discovery to real-time performance analysis, AI is transforming the sporting world.

AI tools are now being used to identify potential Olympic champions by analyzing vast amounts of data. On the field, AI-powered systems offer athletes and coaches real-time insights to optimize performance. Even spectators benefit, with AI enhancing the viewing experience through interactive features and data-driven commentary.

As the Paris Olympics kick off, it's clear that AI is not just a spectator sport; it's a key player in the pursuit of athletic excellence. (Source)

OpenAI - the new AI Search Rival

SearchGPT: OpenAI's New AI Search Prototype (youtube.com)

According to OpenAI, it is in the early stages of developing "SearchGPT," a new search function that leverages AI and the web to provide you with prompt, accurate results from reliable sources. Your inquiry will receive synthesis AI-generated responses from SearchGPT, based on current web data. It integrates conversational and search functions, allowing you to delve deeper or adjust your findings with further queries.

You can register for the waitlist here. It has been made available to a select few users in order to gather feedback. (Video)

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NVIDIA Whitepaper: Transforming Enterprise AI with Retrieval-Augmented Generation (RAG)

The advent of Retrieval-Augmented Generation (RAG) is set to revolutionize enterprise AI. RAG merges generative AI with retrieval systems, addressing accuracy, context understanding, and computational costs.

Key Benefits of RAG

1. Enhanced Accuracy: Integrates retrieval mechanisms to minimize incorrect data.
2. Contextual Understanding: Leverages external datasets for domain-specific outputs.
3. Explainability: Offers clear sources and reasoning behind AI responses.
4. Cost Efficiency: Reduces the need for extensive retraining, saving computational resources.

Industry Applications

• Retail: Enhances supply chain monitoring and customer interactions.
• Finance: Improves analytics, risk assessment, and claims processing.
• Healthcare: Provides precise patient data for clinical decision-making, and allows access to accurate patient data quickly.

Getting Started With RAG: NVIDIA helps you to manage that process by providing a reference architecture for cloud-native, end-to-end RAG applications. Developers and business leaders have a one-stop shop to try models and microservices for their specific use cases that can be downloaded and deployed anywhere with ai.nvidia.com.

Transforming Business Operations: RAG unlocks new efficiencies and insights, driving innovation in customer experiences and internal processes. Ready to explore the possibilities of generative AI? Read the Guide.

Meta's Llama 3.1: A Game-Changer in AI

With 405 billion parameters, Meta's new open source model outperforms leading closed models such as GPT-4 in some benchmarks.

• Performance leap: Llama 3.1 outperforms GPT-4 and Claude 3.5 in key benchmarks and is recognised as the first open source ‘frontier model’.
• Customisable models: Meta focuses on customisable models for companies and individuals, as opposed to a universal approach.
• Ecosystem building: Meta encourages collaboration between large companies and small developers to drive new AI projects.
• Zuckerberg's open source vision: The Meta CEO sees open source AI as the standard of the future and emphasises its benefits for developers, companies and society. You can find a recent interview with him below.

You can try out the new model with OctoAI. (Zuckerbergs Statement)

More details

Statement of the week

“We should take a human-centric approach to the evolution of AI technology, ensuring human needs and experiences are central to its foundation.” Dr. Nisar Zafar in a panel discussion on “Democratizing AI: Strategies for Overcoming Cognitive Biases” at the United Nations Office in Vienna (July 2024).

Tool(s) of the Week

Udio v1.5 is here: Fancy generating some music? Udio v1.5 offers a host of new features, including state-of-the-art audio quality, improved workflows, stem downloads, key guidance, audio-to-audio and much more! (YT Playlist)

Kling AI now available for everyone: Good news for anyone interested in AI-generated videos: Kling AI is now accessible worldwide. After the initial launch a month ago, users outside of China can now also try out the tool. The global version enables the creation of 5-second videos and offers 66 free credits per day. With detailed prompts of up to 2,000 characters and advanced 3D reconstruction technology, Kling promises natural movements and high-quality results.

Prompt Training

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Ressources

1. McKinsey: Managing in the era of gen AI
2. How Llama 3.1 is saving Zuckerberg’s Metaverse
3. What is Claude AI, and how does it differ from ChatGPT?
4. MIT researchers advance automated interpretability in AI models
5. Master AI with this ChatGPT course! Learn to set up & choose the right model, integrate into projects (no coding!), + get a Swiss AI certificate. Use 10% code DIGITALSTORM ?? HERE ?? More Details: ????? Click ???
6. What books read Elon Musk, Marc Zuckerberg, Sam Altman and Co? ??? Click ???

Trending Tools

1. 10Web - 100% the best AI Weg Site Generator
2. Glaive - Build custom models using synthetic data. Train, measure, and refine models based on feedback. Ideal for specialized applications. Simplifies iterative development.
3. Robbie - AI agent that navigates GUIs to perform tasks. It uses OCR and other tools for web and desktop interfaces. Handles tasks like emails and bookings efficiently. Versatile for various automated operations.

Big Headlines you should know

1. Meta's Llama 3.1, a large language model with 405 billion parameters, outperforms its predecessor and even rivals OpenAI's GPT-4, potentially accelerating AI adoption across Meta's platforms.
2. Intel's Core Ultra processors, combining CPU, GPU, and NPU, are a significant AI powerhouse, demonstrating Intel's strategic investment in AI hardware.
3. French startup Mistral AI's Mistral Large 2 model, despite its small size, outperforms larger competitors, challenging the notion that larger models are superior.
4. Elon Musk announced Tesla plans to sell its humanoid robot Optimus to other companies by 2026, with Optimus expected to be in low production for internal use by next year.
5. Five U.S. senators have requested data on OpenAI's safety and security measures, following concerns from former employees and CEO Sam Altman about AI misuse, employee safety, and cybersecurity threats.
6. X (formerly Twitter) under fire: Elon Musk's platform faces backlash for secretly sharing user data to train its AI, potentially violating data protection laws.
7. TikTok data concerns: The app is accused of sending sensitive user data to its Chinese parent company, raising national security fears and potential ban threats.
8. AI scraping controversy: Anthropic AI is accused of ignoring website restrictions and aggressively scraping data, causing disruptions for multiple platforms.
9. NASA space mission delayed: Astronauts stranded in space due to technical issues with Boeing's Starliner spacecraft, with no clear return date yet.
10. Intel chip problems: The company's latest processors are facing irreversible damage due to voltage issues, with a potential fix on the horizon but no solutions for affected chips.

Chart(s) of today

Meme for Dessert

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