Generative AI, a subfield of artificial intelligence, is poised to revolutionize technology interaction in the coming years. This groundbreaking technology has the potential to produce writing that sounds human and create realistic-looking photos, among other remarkable advancements. By harnessing the power of machine learning methods to generate new data from previously collected data, generative AI takes artificial intelligence to a whole new level.
By the year 2024, we can expect to witness five transformative ways in which generative AI will shape the world:
1. Emergence of Multimodal AI Models:
Significant progress is expected in multimodal AI, which will revolutionize creative skills. This trend is exemplified by large language models like Mistral, Llama 2, and GPT4 from Meta and OpenAI. These models leverage a variety of data types, allowing users to produce material from diverse sources while enhancing the dynamism and intuitiveness of artificial intelligence.
2. Competent and Strong Minimal Language Models:
Small language models (SLMs) trained on a limited number of high-quality datasets will become standard practice by 2024. These SLMs, such as Microsoft’s PHI-2 and Mistral 7B, possess comparable quality to their larger counterparts, the Large Language Models (LLMs). With fewer parameters and less system requirements, SLMs offer versatile generative AI applications for specific tasks and ensure regulatory compliance.
3. Development of Autonomous Agents:
Autonomous agents powered by multimodal AI and complex algorithms will reshape generative AI in 2024. These self-learning systems analyze diverse data types using tools like LlamaIndex and LangChain, enabling them to make well-informed conclusions. By providing intelligent, context-aware interactions and reducing the need for human intervention, autonomous agents enhance the customer experience across multiple industries.
4. Equivalent Status of Open Models and Proprietary Models:
Open generative AI models are surpassing proprietary models like Claude 2, Jurassic-2, and GPT 3.5 in 2024. Models such as Mistral’s Mixtral-8x7B, Falcon 180B, and Meta’s Llama 2 70B are gaining popularity. In the future, these models, along with other players, will continue to offer updated versions that provide reliable alternatives to on-premises or hybrid hosting.
5. Essentiality of Cloud Native for On-Premise GenAI:
By 2024, hosting generative AI models on Kubernetes becomes the recommended platform. Leading companies like Hugging Face, OpenAI, and Google utilize AI technologies and support containerized model inference through tools like Text Generation Inference, vLLM, and Ray Serve. Advanced Kubernetes-based frameworks enable efficient management of the AI model lifecycle. Cloud-native ecosystem participants offer best practices for generative AI, extending LLMOps for integrated workflows.
In a rapidly evolving technological landscape, generative AI is set to transform how we interact with technology. Through multimodal AI models, competent minimal language models, autonomous agents, equivalent open and proprietary models, and cloud-native hosting, 2024 holds immense potential for the advancement of generative AI. As we embrace these innovations, the world as we know it will be forever transformed.
