Google Introduces Gemini to compete with ChatGPT

🗞️ The Tech Issue | December 7, 2023

Author

Qamar Zia
December 07, 2023

☕️ Greetings, and welcome to my daily dive into the Generative AI landscape.

I’m evolving this newsletter to ensure you, as a valued reader, eagerly anticipate opening it daily for valuable insights that keep you updated on Generative AI. My goal is to streamline its content, making it a concise, under-five-minute read. Today’s newsletter is 1486 words long which I think is still too long. For those interested in deeper dives, I’ll provide references for extended reading. Most of this content springs from my ongoing research and development projects at INVENEW. For more of my articles, visit ReROAR magazine.

Today’s issue covers the following:

  • Exploring the World of AI Agents.

  • New AI frameworks hint at Apple’s generative AI roadmap.

  • 17 Predictions for 2024: From RAG to Riches to Beatlemania and National Treasures.

  • Google Gemini: A Family of Highly Capable Multimodal Models.

  • And more.

♨️ TOP STORY

Google's AI model Gemini, boasting enhanced reasoning abilities, was tested across 57 fields, including math and humanities. CEO Sundar Pichai sees it as heralding a new AI era. Unlike Bard, Google's earlier chatbot, Gemini integrates into existing tools like search. Analysts recognize Gemini's learning capabilities from diverse sources. It outperforms OpenAI's GPT-4 in most academic benchmarks, despite OpenAI planning an even more powerful release. The AI race intensifies with competition from Elon Musk's xAI and China's Baidu, amidst growing global concerns and calls for regulated AI development.

Highlights:

  1. Google introduces Gemini, a powerful AI model in three sizes: Ultra, Pro, and Nano.

  2. Gemini Pro surpasses GPT-3.5 in performance; comparisons with GPT-4 are unclear.

  3. Gemini will be licensed through Google Cloud for customer applications.

  4. Gemini's applications include powering Google's Bard chatbot and the Search Generative Experience.

  5. Gemini Ultra excels in massive multitask language understanding (MMLU).

  6. Google plans to incorporate Gemini into its consumer AI products and cloud services.

  7. The AI model's capabilities extend to advanced customer service, content creation, and productivity tools.

  8. Gemini Ultra is noted for its efficiency and lower operational costs despite its advanced capabilities.

  9. Google's new TPU v5p chip, designed for AI training, offers improved performance.

Google's focus remains on enhancing AI experiences in search and other consumer-facing applications.

⚙️ AI AGENTS

AI agents have evolved remarkably, transitioning from simple scripts to intelligent entities capable of human-like decision-making and interaction. They find applications in virtual environments, autonomous vehicles, and various business processes. Building them involves a range of tools and platforms, and they are classified based on intelligence levels. Challenges include complex decision-making, ethics, biases, and security, while the future promises advanced learning, integration across sectors, and human-AI collaboration. Ethical development will be pivotal as AI agents continue to reshape our digital world.

📈 TRENDS

Generative AI is set to dominate technology trends in 2024, recognized for its potential and broad-reaching applications. McKinsey estimates it could add up to $4.4 trillion to the global economy annually. Key developments include:

  1. Larger and More Powerful Models: With advancements like GPT-4 Turbo, these models feature expanded knowledge limits and capabilities, including image detection and analysis. Rumors suggest the launch of GPT-5 in 2024, further enhancing model size and reliability.

  2. Generative Design: AI tools are aiding designers in creating prototypes efficiently, significantly impacting material design through simple instructions.

  3. Generative Video and Audio: AI is making multimedia production more accessible, faster, and cost-effective, with sophisticated audio generation mimicking human speech nuances.

  4. Multimodal Models: The trend is moving towards models like GPT-4 that integrate multiple modes of expression, including images, text, and audio.

  5. Autonomous Agents: Advanced AI applications like AutoGPT operate independently, performing complex operations beyond traditional chatbots.

  6. Enhanced Applications and Services: By 2024, 40% of enterprise applications are expected to include built-in conversational AI features, improving user engagement.

  7. Generative AI in Education: AI is transforming education by generating notes, lesson plans, and offering personalized learning experiences.

  8. Generative AI in Healthcare: This technology will significantly impact healthcare through synthetic medical image generation and personalized treatment plans.

  9. Software Engineering: Generative AI is set to revolutionize software development by optimizing data collection, minimizing miscommunication risks, and increasing productivity.

  10. Government Regulations: With the EU leading, global governments are moving towards regulating AI to balance privacy, security, and technological innovation.

Overall, generative AI is rapidly evolving, integrating into various sectors, and shaping the future of technology and innovation.

🗞️ IN THE NEWS

Apple's release of MLX and MLX Data frameworks signifies a shift towards generative AI, a departure from its traditional stance on AI technology. These frameworks optimized for Apple Silicon chips could potentially introduce innovative generative AI features across Apple's products and services, albeit with careful consideration of ethical implications.

There is an urgency for businesses to become Generative AI-ready to avoid competitive disadvantages in the coming years. A generative AI scorecard for 2024 readiness has been introduced, emphasizing the importance for businesses to prepare for the integration of these technologies​​.

AIPimento, a French startup, has raised $3.2 million to develop a tool that uses AI for ideation, brainstorming, and mood boarding in creative processes. The tool allows creative teams to input briefs and initial images, and then it generates tailored content, which users can iterate and merge. This story highlights the continued need for human creativity and interpretation in the AI-assisted creative process.

NVIDIA's experts anticipate rapid transformations across various industries due to the accelerated rollout of generative AI technologies. Companies are beginning to establish best practices for the adoption of generative AI, which is expected to be a key driver for innovation and operational efficiency​

🗣️ CULTURE

The entertainment industry grapples with generative AI's impact, but voice actors remain overlooked. Deepfake technology poses risks, and legal protections fall short. New legislation like the NO FAKES Act offers hope, yet challenges persist. Global data protection regulations may hold potential, but comprehensive solutions are needed for this vulnerable group.

🔦 INDUSTRY SPOTLIGHT

By 2024, McDonald's, in partnership with Google, will deploy generative AI in numerous stores. This initiative includes hardware, software, and Google Cloud upgrades, focusing on operational optimization and enhanced customer experiences. The impact on staff roles and automation in service delivery remains an area of interest and speculation.

📚LEARNING

As technology rapidly evolves, artificial intelligence (AI) takes center stage, transforming our digital interactions. This festive season, Google presents the "12 Days of Generative AI Training," an opportunity to expand your knowledge in this field for free.

  1. Generative AI, explained

  2. Introduction to Generative AI

  3. Introduction to Large Language Models

  4. Generative AI Fundamentals Skill Badge

  5. What is Generative AI Studio?

  6. Introduction to Generative AI Studio

  7. Introduction to Image Generation

  8. Introduction to Responsible AI

  9. Responsible AI: Applying AI Principles with Google Cloud

  10. The Arcade

  11. Gen AI Bootcamp

  12. What is Codey? Learn in 60 seconds

🔬 RESEARCH

The Gemini report introduces the Gemini family of multimodal models, showcasing exceptional capabilities in image, audio, video, and text understanding. It includes models Ultra, Pro, and Nano, catering to various application complexities and constraints. Gemini Ultra excels in multiple benchmarks, achieving state-of-the-art results and surpassing human expertise in some areas. The report also details the models' architecture, training infrastructure, dataset, and responsible deployment, emphasizing their potential in various applications and discussing their limitations and future research directions.

📣 OPINION 

Google's Gemini AI: A Promising But Uncertain Debut: Google introduces Gemini Pro, part of its Gemini AI family, promising enhanced capabilities in language understanding. However, the lack of concrete demonstrations and concerns about development challenges and environmental impact leave room for uncertainty about its true potential in the world of AI.

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