Revolutionizing industries – Microsoft’s bold steps in artificial intelligence
In 2023, generative AI witnessed a major shift from research labs to practical applications, reaching millions of users through widely-used tools like ChatGPT and Microsoft Copilot. As we progress into 2024, AI is expected to become even more accessible, refined, and integrated into technologies that enhance daily activities and contribute to addressing complex global issues. Here’s Microsoft’s AI roadmap and trends to monitor closely in 2024.
The Rise of Small Language Models in AI Technology
- Those who have used Copilot for complex queries have experienced the capabilities of large language models (LLMs). These models are so massive that they often demand substantial computational resources to operate, which is why the emergence of small language models (SLMs) is gaining considerable attention. SLMs are compact enough to be run offline on a smartphone. Sebastien Bubeck, head of the Machine Learning Foundations group at Microsoft Research, says small language models can make AI more accessible because of their size and affordability.
Additionally, new methods are being explored to enhance their efficacy, approaching or even surpassing large language models. Microsoft researchers have introduced two SLMs, Phi and Orca, that excel in specific domains, challenging the assumption that scale is essential for performance. In contrast to LLMs trained on vast amounts of internet data, these smaller models utilize curated, high-quality training datasets. Researchers are continuously uncovering new thresholds for balancing size and performance. In 2024, further advancements in SLM technology are expected, creating greater opportunities for research and innovation.
Embracing Multimodal AI
- While most large language models primarily process text, Multimodal Models enable the comprehension of diverse data types, including text, images, audio, and video. This capability is revolutionizing technologies across various domains, from search engines to creative applications, by enhancing their accuracy and depth. For instance, Copilot can differentiate the contents of an uploaded image by processing visual elements and textual descriptions, along with Bing search data. This allows Copilot to provide contextual information, such as the historical significance of a monument in the image.
Moreover, Multimodal AI drives innovations like Microsoft Designer, a graphic design application capable of generating images based only on verbal descriptions provided by the user. Additionally, it facilitates the creation of custom neural voices, enhancing accessibility for individuals utilizing text readers and aids for vocal disabilities. According to Jennifer Marsman, Principal Engineer for Microsoft’s Office, “Multimodality holds the potential to create experiences that closely mimic human interactions, taking advantage of a range of senses such as sight, speech, and hearing.
AI Revolutionizing Scientific Discovery
In the field of sustainable agriculture, Microsoft researchers are leveraging AI to develop advanced weather prediction models and carbon estimators. Additionally, they’re creating innovative tools to assist farmers in optimizing their practices, such as a chatbot capable of identifying unknown weeds or evaluating irrigation methods based on farm-specific data. In the life sciences, collaborative efforts are underway to deploy the world’s largest image-based AI model for cancer detection and to expedite drug discovery processes for infectious diseases and breakthrough medicines.
AI is revolutionizing these discoveries by reducing the time required for trial and error, compressing years of work into weeks or months. Moreover, AI is transforming materials science, facilitating the rapid discovery of new materials. Researchers say artificial intelligence is bringing a shift in scientific discovery. This transformation may emerge as the most exciting and promising application of AI.
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