In 2024, deepsense.ai experts predict major advancements in AI:
1. Edge AI: Closer AI capabilities enable real-time decision-making, enhance privacy, and improve scalability in language communication, the metaverse, and various industries.
2. Large Language Models (LLMs): Advances are expected in transitioning LLM-based applications from research to production, with tech giants launching new models and companies leveraging LLMs in various projects.
3. 3D Scene Reconstruction: 3D scene reconstruction based on camera images is becoming more accessible, with the potential for widespread popularity in integration of real-world scenes into the virtual realm.
4. Diffusion Models: Diffusion-based models, such as DALL·E, are expected to see greater abstraction of architectures, resulting in increased automation and accessibility for businesses.
5. LLMOps: Large Language Models will see a transition from PoCs to production-grade systems, necessitating the emergence of more performant inference serving, observability, and security tools.
6. Coding Agents: The rise of Coding Agents, such as GitHub Copilot, is transforming the programming landscape, with advances expected in AI-driven code generation and its integration into development workflows.
Seize the opportunities and prepare for the innovative, AI-driven world of 2024.
AI Predictions for 2024 from deepsense.ai Experts
1. Edge AI – Michał Tadeusiak
In 2024, edge AI applications will play a crucial role in shaping digital interactions, enhancing operational efficiencies, and empowering users with intelligent and personalized experiences. From language communication to the metaverse and various industries, edge AI is set to revolutionize real-time decision-making, privacy, and scalability.
2. Large Language Models – Mateusz Wosiński
The transition of Large Language Models (LLMs) from research to production in 2024 will bring countless possibilities for businesses. The ability to leverage LLMs for specific use-cases will lead to significant advancements in various industries, with the potential to transform how we interact with data and information.
3. 3D Scene Reconstruction – Konrad Czarnota
The mainstream popularity of 3D scene reconstruction using techniques like NeRFs and Gaussian Splatting promises exciting business opportunities. From e-commerce to the entertainment industry, the ability to seamlessly integrate real-world scenes into the virtual realm will lead to innovative applications and enhanced user experiences.
4. Diffusion Models – Maciej Domagała
The rise of diffusion models in 2024 will bring about more accessible and efficient AI solutions for businesses. With advancements in task-specific architectures and multi-modal methods, businesses can expect more automation and improved model performance, leading to enhanced productivity and innovation.
5. LLMOps – Mateusz Hordyński
In 2024, the transition from LLM-powered PoCs to production-grade systems will enable companies to create reliable and profitable products. Enhancements in inference serving, observability, and security tools will pave the way for more efficient and scalable AI solutions, empowering businesses to harness the full potential of LLMs.
6. Coding Agents – Maks Operlejn
The evolution of Coding Agents in 2024 will usher in practical and reliable tools for developers, accelerating software development and enhancing business success. With AI-driven assistants capable of generating full-scale code in line with specified goals and technical requirements, businesses can expect a shift towards more efficient and collaborative programming workflows.
As AI continues to break boundaries and redefine possibilities, it’s an exciting time to be part of this transformative journey. Embracing the forthcoming changes and leveraging expert insights will be crucial for staying competitive and driving innovation in the AI-driven world of 2024.
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