AI Changes Face: Open Source Models Challenge the Giants | Llm machine learning tutorial | Large language models tutorial | | Turtles AI

Salesforce CEO Marc Benioff predicts that open source large language models (LLMs) like DeepSeek-R1 will dominate the AI ​​market due to their efficiency, accessibility, and lower costs compared to proprietary solutions.

Key Points:

• DeepSeek-R1 Challenges AI Giants: The Chinese open source DeepSeek-R1 model offers comparable performance to GPT-4, with significantly lower development costs.
• Cost-Efficiency and Accessibility: DeepSeek-R1 is freely available for commercial use, with operating costs up to 95% lower than competing models.
• Technology Innovation with MoE: The adoption of the "Mixture of Experts" architecture allows DeepSeek-R1 to optimize computational resources while maintaining high performance.
• Market Impact and Reactions: The emergence of DeepSeek-R1 has significantly affected the stock market, highlighting a shift in the dynamics of the AI ​​industry.

Marc Benioff, CEO of Salesforce, recently shared his vision for the future of AI, highlighting the growing importance of open source large language models (LLMs). According to Benioff, the adoption of open source solutions represents a significant shift in the industry, offering advantages in terms of cost, efficiency and accessibility.

A prime example of this trend is DeepSeek-R1, a model developed by Chinese startup DeepSeek. Headquartered in Hangzhou and founded in 2023 by Liang Wenfeng, DeepSeek has introduced an open source LLM under the MIT license, allowing for unrestricted commercial use. The R1 model was developed on a budget of just $6 million, significantly less than the costs incurred by companies like OpenAI for similar models. Despite this, DeepSeek-R1 offers comparable performance to GPT-4, demonstrating the effectiveness of the open source approach in the field of AI.

The architecture of DeepSeek-R1 is based on the concept of "Mixture of Experts" (MoE), which allows to dynamically activate only a part of the model during processing, optimizing the use of computational resources. This innovation allows to reduce operating costs and make the model more accessible to a wide range of users, from startups to academic institutions.

The impact of DeepSeek-R1 has also been felt on the financial market. After its launch, companies such as Nvidia have seen a significant drop in their shares, highlighting how the emergence of open source solutions can influence the dynamics of the AI ​​industry. Benioff highlighted how the adoption of open source models can lead to a reduction in costs of up to 90% for companies, making these solutions particularly attractive in a changing economic context.

In response to these transformations, even established companies are reviewing their strategies. Microsoft, for example, hired Mustafa Suleyman, co-founder of DeepMind, to lead a new AI division, with the goal of developing proprietary models and reducing reliance on external solutions like ChatGPT.

Benioff also highlighted the importance of open source as a driver of innovation, noting how Salesforce has actively contributed to open source projects and worked with partners like IBM to enhance its AI offerings. This vision aligns with the idea that open source can democratize access to AI, fostering collaboration and accelerating technological development.

Ultimately, the adoption of open source LLM models like DeepSeek-R1 is redefining the AI ​​landscape, offering more efficient and accessible solutions. Companies that adapt to this new reality will benefit from significant competitive advantages, as the industry as a whole moves towards a more open and collaborative future.

The growing adoption of open source models like DeepSeek-R1 highlights a paradigm shift in the AI ​​industry, with significant implications for businesses, developers, and end users.