Mistral 7B | Raw Open Source Power Dethroning OpenAI

1. Mistral 7B is an open source model that competes with OpenAI's models.

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Mistral 7B is an open source model that is gaining popularity and is considered to be better than OpenAI's GPT-3.5 model.

• Open source models have advantages like no censorship or bias and cannot be taken away from users.
• Open source models can be used for various tasks and have the potential to automate business processes.

2. Mistral 7B is a mixture of experts model.

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Mistral 7B is composed of eight experts that specialize in different areas, such as language output, domain-specific knowledge, and task-related expertise.

• The experts in Mistral 7B work together to answer questions and provide outputs.
• The mixture of experts approach allows Mistral 7B to perform well across a wide variety of tasks.

3. Open source models like Mistral 7B have the potential to surpass proprietary models.

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Smaller open source models, like Mistral 7B, can focus on their area of expertise and achieve performance levels similar to or better than larger proprietary models.

• Open source models can be trained effectively with synthetic data.
• Combining smaller models in a mixture of experts can lead to improved performance across different tasks.

4. Different timelines of Buddha's journey and his view on Tik Tok.

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Buddha would view Tik Tok as another distraction from focusing on what really matters. He would encourage people to use social media platforms like Tik Tok with intention and purposeful awareness.

• Buddha would encourage users to reflect on whether their use of Tik Tok aligns with principles such as right speech and right action.
• Using Tik Tok with intention and purposeful awareness means avoiding aimless scrolling and paying attention to what really matters.

5. Open source catching up to big tech companies in AI models.

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Open source AI models are catching up to big tech companies like OpenAI and Google. Open source models are becoming more powerful and comparable in quality to restricted models.

• Open source models are improving and being built upon by researchers and developers worldwide.
• The value of restricted models diminishes when free, unrestricted alternatives are available and comparable in quality.

6. The future of AI research and development.

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The future of AI research and development may lie in open source collaboration and sharing of knowledge. Open source allows for growth, development, and staying on the bleeding edge of AI advancements.

• Open source AI models enable the exchange of ideas and advancements among researchers and developers.
• While there are risks associated with open source, it may be safer and more beneficial than closed source approaches.