With the release of Deepseek R1 and its distilled models, open-source models have closed the gap trailing closed models by only 2-3 MONTHS!
- This milestone in open-source models accelerates the commoditization of cognitive capabilities to companies and consumers alike, at a fraction (5%-10%) of the cost from flagship reasoning models like O1 from OpenAI. It was previously unimaginable to think that an open-source model could lead the industry in terms of advancing AI accessibility and performance while OpenAI’s flagship models remain costly for many organizations.
- It’s important to note that this was accomplished with an unsupervised learning approach, similar to how AlphaGo was trained. The significance? They removed the biggest bottleneck in LLM development, HUMANS.
- This next chapter of AI advancement will set the stage for decades to come. It’s now more important than ever that we educate, advocate, and facilitate the ethical and safe use of AI moving forward. Any alternative scenario is unfathomable…
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- What are your thoughts on the rise of open-source AI models? How do you envision this impacting the future of technology and accessibility? Share your insights below!
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