Image Credit: Analytics Drift
Produced By: Analytics Drift
Large Multimodal Models rise, combining text, image, and sound understanding to create more holistic and nuanced AI solutions.
Expansion of open-source Large Language Models, democratizing AI and fostering innovation across various sectors.
Seamless integration of LLMs and LMMs becoming ubiquitous, enhancing user experiences and operational efficiencies.
MLOps (Machine Learning Operations) gains momentum, emphasizing the need for robust, scalable, and efficient AI deployment strategies.
A recalibration of investments with less funding in AI startups compared to the boom in 2022, prompting a focus on sustainable and practical AI solutions.
Generative AI moves towards task-specific optimization, creating highly efficient systems tailored to specialized needs.
Increasing awareness and concern around 'Shadow AI' – unofficial and unsanctioned AI systems within organizations, raising questions about control and governance.
2024 expects a significant increase in AI regulation, aiming to address ethical, privacy, and safety concerns as AI becomes more pervasive in society.
Designed by: Prathamesh