Artificial intelligence (AI) as we know it today vastly differs from what we typically portray in science fiction. There’s no question that it is an advanced technology, but instead of being robots in humanoid form, AI is a complex system powered by large language models (LLMs).
These models, which are trained on massive datasets, are the reason why AI is able to interact with us in more human-like ways. From recognizing voice-commanded instructions to generating human-like texts, large language models and AI have driven both technological and societal advancements.
Thanks to previous discussions, we know AI and LLMs have use cases in industries like digital marketing, e-commerce, and gaming. Let’s explore more of their benefits by taking a look at real world examples.
Assisting with Clinical Diagnoses
The healthcare sector has plenty to gain from AI and LLMs, and a study published in the New England Journal of Medicine proves this. According to the experiment, GPT-4, a large language model by OpenAI, correctly diagnosed 52.7% of clinical cases, compared to 36% of medical journal readers.
With AI incorporated into medical systems, healthcare professionals can fast-track their diagnostics and thereby provide care at a quicker rate.
Providing Support for Persons with Disabilities
Be My Eyes uses technology to help visually impaired people navigate daily situations. It recently introduced its virtual volunteer feature, which uses AI to provide support. Users simply need to upload an image, and the AI-powered system can help identify what’s in it.
This is possible because of LLMs that can interpret and analyze those images, essentially ‘translating’ them for users. As more advancements are made, AI may be able to help persons with other disabilities. You can also invest in professional interpretation services to ensure seamless communication.
Improving Translations
AI and LLMs have paved the way for more user-friendly language translation technologies. For instance, Duolingo Max, leverages AI to create personalized lessons. One AI-powered feature called ‘Roleplay’ allows users to practice their language skills on virtual characters.
By improving how we learn languages, AI can indirectly facilitate global communication and foster cultural understanding.
Streamlining Online Business Setups
One of the most important steps in setting up an online business is creating a website. To streamline this, Wix provides services backed by AI to intelligently assist in designing a website’s UI. It takes a step further and uses an LLM to offer AI content creation, which can help businesses in their content marketing marketing efforts.
Similarly, LLMs can also disrupt growth marketing by providing AI-powered customer support and automating marketing processes.
Powering Education Initiatives
AI has the potential to improve education accessibility, and a great success story for this is Khan Academy. This non-profit organization created an AI-powered assistant that serves as a virtual tutor for students and a classroom assistant for teachers. They emphasized that each student has different educational gaps, and having a personalized tutor can help bridge this.
Strengthening Cybersecurity Measures
Cisco Security trained their own LLM to detect ‘obfuscation’ in command lines. This is a common technique used by hackers to hide malware within innocuous commands. Cisco Security’s Michael Roytman admitted that this method has higher efficacy than their previous ones, and that it’s also a lot cheaper than incorporating a third-party LLM.
This is just one of the many ways AI can bolster cybersecurity systems. Others include detecting abnormal user activity, identifying new threats, and flagging phishing attempts.
Final Words
AI and LLMs are not anymore just buzzwords in the tech word. With more success stories unfolding each day, they are transforming industries and changing the way we live. Language models are crucial in making AI versatile, manageable, and even more beneficial. They serve as the conduit between AI and humans, making interactions simpler and more human-like.
Like any technological development, AI and LLMs are not without potential pitfalls. Concerns about privacy, bias, and misuse are some issues that the field needs to address properly. But with continued research, regulation, and development, we can optimize AI’s benefits further while reducing any risks involved.
