About the Episode
Join us in "AI in 2024" where hosts Ardis and Dr. JC Bonilla dive into the exhilarating world of AI advancements expected in 2024. This episode unpacks the rapid progress in AI technologies, from large language models to multimodal AI, and predicts how these developments will revolutionize consumer experience, education, and creativity.
Key Takeaways
- The Next Phase of LLMs: Expect advancements in open-source models like Mistral and Llama 2, along with OpenAI’s GPT-5, anticipated to set a new benchmark for multimodal capabilities and reasoning power.
- AI in Creativity: Generative AI will dominate content creation in 2024, enabling faster production of videos, graphics, and more at a fraction of the cost.
- Conversational Technology: Interactions with technology will become more human-like, with AI assistants providing contextually relevant and multimodal responses.
- Apple’s AI Strategy: Apple may introduce advanced AI capabilities integrated directly into its devices, emphasizing privacy and local processing power.
- AI in Education: AI-driven chatbots, teaching assistants, and personalized learning tools will redefine the student experience and administrative workflows in higher education.
Episode Summary
What Will 2024 Bring for Large Language Models (LLMs)?
2023 was the year of foundational AI innovation, with companies like OpenAI, Google, and Meta pushing the boundaries. Looking ahead, Ardis predicts that 2024 will see open-source models closing the gap with GPT-4. Models like Google’s Gemini, designed as multimodal from the ground up, could become game-changers.
JC added that the rapid pace of technological evolution could accelerate the emergence of a dominant LLM, challenging ChatGPT’s first-mover advantage. While GPT-4 and GPT-4.5 are expected to dominate, competition from Google and other players like Anthropic may disrupt the space.
How Will Generative AI Transform Creativity and Marketing?
Generative AI is set to revolutionize content creation, with tools enabling real-time, high-quality production of multimedia assets. Ardis highlighted how AI can already edit video using text commands, create realistic images, and generate entirely AI-driven news segments.
In marketing, JC predicts that AI will empower creators to produce hyper-personalized and contextually relevant content at scale. The ability to automate creative workflows will also make high-quality content accessible to smaller teams and lone creators.
What Role Will AI Play in Personal Technology?
Ardis believes conversational technology will dominate 2024. He envisions interactions with AI becoming more human-like, with multimodal assistants capable of understanding and responding through text, audio, and visuals. These AI agents could have customizable personas for specific tasks, from creative collaboration to empathetic counseling.
Apple’s potential entry into the AI race was another hot topic. While JC predicts Apple will use AI as a means to enhance its product ecosystem, Ardis foresees the integration of advanced models into Apple’s devices, enabling faster, privacy-centric AI interactions.
What’s Next for AI in Higher Education?
The hosts agree that AI will reshape the student experience in 2024. Ardis predicts widespread adoption of AI-driven chatbots for academic advising, mental health support, and customer service. These tools will provide personalized assistance across multiple communication channels, from SMS to WhatsApp.
In the classroom, AI teaching assistants and personalized learning tools will enhance engagement and accessibility. JC anticipates AI-driven assessment tools, such as automated quiz and exam generation, becoming standard, reducing faculty workload and improving outcomes.
How Will AI Boost Productivity in 2024?
Both hosts emphasized AI’s role in optimizing workflows. JC plans to focus on fine-tuning generative AI to replicate his tone and style, making content creation more efficient. Meanwhile, Ardis sees a future where AI is embedded in everyday tools like CRM systems, enabling seamless automation of tasks like transcription, translation, and content distribution.
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