The Future of Generative AI with Open Source Models
Generative AI has thus far been associated with OpenAI and its LLM and ChatGPT. However, things are changing rapidly. The open-source community has been instrumental in driving the development and adoption of generative AI models, which have already made significant strides in recent years. As I look ahead to the future, it’s clear that generative AI with open-source models holds immense potential across various domains.
The Economic Potential of Generative AI
The economic potential of generative AI is staggering. According to McKinsey’s latest research, generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across 63 use cases. This would increase the impact of all artificial intelligence by 15 to 40 percent.
Latest Generative AI Applications
Generative AI applications such as ChatGPT, GitHub Copilot, Stable Diffusion, and others have captured the imagination of people around the world thanks to their broad utility—almost anyone can use them to communicate and create—and preternatural ability to have a conversation with a user. The latest generative AI applications can perform a range of routine tasks, such as the reorganization and classification of data. But it is their ability to write text, compose music, and create digital art that has garnered headlines and persuaded consumers and households to experiment on their own.
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Speed of Generative AI Technology Development
The speed at which generative AI technology is developing isn’t making this task any easier. ChatGPT was released in November 2022. Four months later, OpenAI released a new large language model, or LLM, called GPT-4 with markedly improved capabilities. Similarly, by May 2023, Anthropic’s generative AI, Claude, was able to process 100,000 tokens of text, equal to about 75,000 words in a minute—the length of the average novel—compared with roughly 9,000 tokens when it was introduced in March 2023. And in May 2023, Google announced several new features powered by generative AI, including Search Generative Experience and a new LLM called PaLM 2 that will power its Bard chatbot among other Google products.
Future Developments
As we look ahead to the future of generative AI with open-source models in 2023 and beyond, it’s clear that there are many exciting developments on the horizon. From new applications that can perform increasingly complex tasks to more sophisticated algorithms that can learn from vast amounts of data, there’s no doubt that this field will continue to evolve at an astonishing pace.
One area where we’re likely to see significant growth is in natural language processing (NLP). With advances in NLP technology, we can expect more sophisticated chatbots and virtual assistants that can understand human speech more accurately than ever before. This will have far-reaching implications for businesses across various industries as they seek to improve customer service and streamline operations.
Another area where we’re likely to see significant growth is in computer vision. With advances in computer vision technology, we can expect more sophisticated image recognition systems that can identify objects with greater accuracy than ever before. Industries like healthcare and manufacturing will be able to leverage the technology to improve their quality control processes and identify objects with greater accuracy than ever before .
In conclusion, generative AI with open-source models holds immense potential across various domains. As I look ahead to the future of this exciting field in 2023 and beyond, it’s clear that there are many exciting developments on the horizon. Whether you’re a seasoned expert or just starting to explore the possibilities of generative AI, there’s never been a better time to get involved.