Gemma LLM: Google is back with Open Source AI 🔥

Dive into the world of Gen AI innovation with our latest tutorial video on Google's Gemma! As Google's newest contribution to the open AI landscape, Gemma models are set to revolutionize the way developers and researchers harness artificial intelligence. This video covers everything from the launch of Gemma's state-of-the-art open models, available in 2B and 7B variants, to their practical applications and optimization across various platforms. We'll guide you through the key features of Gemma, including its compatibility with major frameworks like JAX, PyTorch, and TensorFlow, as well as the Responsible Generative AI Toolkit designed to ensure the safe development of AI applications. Whether you're looking to integrate Gemma into your projects or curious about the latest AI advancements, this tutorial offers a comprehensive overview, practical tips, and insights into leveraging Google's groundbreaking AI technology responsibly. Don't miss out on exploring how Gemma models can empower innovation and push the boundaries of what's possible in AI development. Join us now and be part of the future of AI.

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[cherukupallysowmya]

What will be the pricing for using Gemma LLM in vertex AI

[___TEMPEST___]

which LLM would you recommend to create a Q/A from youtube transcripts, and using something like RoBERTa for NER of the transcripts & Metadata ?

[shekharkumar]

Thanks for sharing always State of Art AI information with Demo.

[nicosoftnt]

You're the goat, bringing relevant content about AI 👏
Open source AI is hard that's why not many people talk about it in depth.

[abdelkaioumbouaicha]

📝 Summary of Key Points:

📌 Google has introduced a new large language model called JMA, available in two versions: JMA 7B and JMA 2B, each with an instruction-tuned variant.

🧐 The JMA models are accessible through the Hugging Face repository, but access needs to be requested. The models have shown promising performance, especially JMA 7B compared to LAMA 2, but details on training data and fine-tuning are limited.

🚀 The interaction with the JMA model through Hugging Face's chat interface showed mixed results in generating responses to various prompts, indicating room for improvement in the model's capabilities.

💡 Additional Insights and Observations:

💬 The lack of information on training data, composition, and pre-processing techniques used for the JMA models raises questions about transparency and reproducibility.
📊 The performance of JMA 7B seems to be more robust compared to other models in the same weight category, but real-world use cases will provide a clearer picture of its effectiveness.

📣 Concluding Remarks:

The introduction of Google's JMA models brings a new open-source large language model to the AI landscape. While initial interactions with the model through Hugging Face showed some limitations, further exploration and testing across different applications will be crucial to fully assess the capabilities and potential of these models. Requesting access to experiment with JMA and sharing feedback will be essential for the community to understand and leverage these new AI advancements effectively.
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[saumyajaiswal]

Please get the video on Llava. Been very long. Please

[mohsenghafari]

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Your help will make a big difference in my life and career. I will be grateful

[artsofpixel]

bro not that background light please !!!