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In this episode, we explore Google’s groundbreaking AI release, Gemma 3, a model designed for efficiency, multimodal capabilities, and accessibility. We break down how Gemma 3 achieves top-tier performance on a single Nvidia H100 GPU, making advanced AI more accessible than ever. Discover how it stacks up against competitors like DeepSeek V3 and Llama 3, its 128K-token context window, and its ability to interpret text, images, and short videos. We also discuss Google’s focus on AI safety with ShieldGemma 2, multilingual support across 140+ languages, and early user feedback—including its strengths and minor critiques. Tune in to learn why Gemma 3 is a major leap forward for developers and businesses looking to harness cutting-edge AI with minimal hardware requirements.
Help support the podcast by using our affiliate links:
Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkv
Disclaimer:
This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Google, DeepSeek, Meta, or any other entities mentioned unless explicitly stated. The content is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.
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In this episode, we explore Google’s groundbreaking AI release, Gemma 3, a model designed for efficiency, multimodal capabilities, and accessibility. We break down how Gemma 3 achieves top-tier performance on a single Nvidia H100 GPU, making advanced AI more accessible than ever. Discover how it stacks up against competitors like DeepSeek V3 and Llama 3, its 128K-token context window, and its ability to interpret text, images, and short videos. We also discuss Google’s focus on AI safety with ShieldGemma 2, multilingual support across 140+ languages, and early user feedback—including its strengths and minor critiques. Tune in to learn why Gemma 3 is a major leap forward for developers and businesses looking to harness cutting-edge AI with minimal hardware requirements.
Help support the podcast by using our affiliate links:
Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkv
Disclaimer:
This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Google, DeepSeek, Meta, or any other entities mentioned unless explicitly stated. The content is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.
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