Thank you for the post. But actually we hope to be the "more open" answer to "Open"AI. It's not US vs. China; it's open vs. closed.
OPEN SOURCE
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01AI_Yi Team Appreciates Community Support and Developer Engagement
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Team at @01AI_Yi appreciates your support. Wonderful dev vibe on the platform!
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Open Source AI Regulation Debate Intensifies
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But the raging debate at the moment is almost entirely about the potential regulation of open source AI platforms. No one is seriously claiming that AI-based products should not be regulated.
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Hugging Face Fellows Fall 2023 Edition Showcases Open Source ML
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Hugging Face Fellows is a network of exceptional people who contribute to open-source machine learning Excited to present you the amazing work of our Fellows, Fall '23 edition https://
huggingface2.notion.site/Hugging-Face-F
ellows-Highlights-Fall-23-6200deed48a14711a515a6d8faf66164?pvs=4
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Open Source Airliner Firmware Requires Certification Compliance
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You certainly can open source commercial airliner firmware.
But you can't deploy it in an airliner without some sort of certification. -
Hugging Face enables rapid public release of 34B model
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Thanks to @huggingface speedy response and trusted brand, we were able to take our 34B model public rapidly, credibly, and impactfully!
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Open Source AI Software Should Not Be Regulated Like Products
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Regulating AI *products* makes sense, depending on the application domain. But regulating *open source AI software* makes zero sense.
There are no other domains where open source software is regulated. There is no reason to treat open source AI software differently from open -
RISC-V Open Source and Open Standards Drive Computing Innovation
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"We believe open source wins. We believe open standards win. That’s a big part of what RISC-V is doing and the strength of #riscv." – @DavidBennett__
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Evaluating Custom LLMs vs Closed-Source Models Performance
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Closed-source models like GPT-4 or Claude yield good performance due to the powerful teams and resources behind them. But for specialized apps, consider shifting to your own LLM and comparing results. Evaluate an LLM's effectivity through the Perplexity Evaluation Metric.
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Choosing the Right LLM for Your Specific Use Case
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Exploring Large Language Models (#LLMs) like closed-source GPT-4, Claude, open-source Llama, Falcon, or your own fine-tuned model can be daunting. Choosing correctly, considering your specific use case is crucial…