The Increasingly Anti-Competitive World of AI and Open Source AI [AI Today Podcast]
Feb 9, 2024
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This podcast explores the risks of embedding third-party AI models, the control exerted by mega tech companies in AI systems, strategies for dominating in the AI market, the impact of generative AI and large language models, open source generative text models, and long-term considerations when choosing open source AI.
Open source AI solutions offer increased control and customization, while closed-source models provide convenience and optimized performance.
Open source large language models reduce vendor dependency, enhance data security, and promote innovation.
Deep dives
The Importance of Open Source AI Solutions
Open source AI solutions provide reduced vendor lock-in and increased control over deployment and operationalization. They also offer enhanced data security and privacy, cost savings, and transparency compared to closed-source models. Open source models allow for customization, have an active community for support, and foster innovation. With multiple options available, organizations should consider the benefits of open source AI solutions in building their AI applications.
The Risks of Closed-Source Large Language Models
Closed-source large language models like OpenAI's GPT and Google's BERT offer convenience and optimized performance, but they come with limitations and potential drawbacks. Organizations have limited control over capabilities and behavior, and costs can increase or features can change unexpectedly. Lack of transparency and the inability to customize can also impede organizations' ability to fully trust and utilize these models.
Advantages of Open Source Large Language Models
Open source large language models provide reduced vendor dependency, enhanced data security and privacy, cost savings, and transparency. With open source models, organizations have the freedom to deploy and use models how they see fit and can combine multiple models. Additionally, the open nature of these models allows for improved customization and fosters innovation within an active community.
Available Open Source Large Language Models
There are numerous open source large language models available, including Lama, Bloom, Mosaics, Falcon, Mistral, and others. These models offer capabilities similar to closed-source alternatives and can be used, modified, and embedded freely. Open source models provide organizations with the option to use foundational models with transparency and control, reducing their reliance on closed-source options.
What can possibly go wrong when you embed someone else’s AI models in your systems? This episode of the AI Today podcast aims to answer this question. And, provide alternative options to Open Source AI. Despite the increasingly walled garden that is becoming the Large Language Models (LLMs) such as OpenAI’s ChatGPT, organizations are creating and embedding AI solutions powered by third-party models they have little visibility and control into.