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
OPEN SOURCE
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Open Source AI Software Should Not Be Regulated Like Products
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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…
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DeepMind Releases Humanoid Robot Model and Documentation
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DeepMind has a humanoid robot. https://
github.com/google-deepmin
d/mujoco_menagerie/tree/main/unitree_h1
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Fine-tuning Llama2 for Custom Language Code Generation
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What does it take to #finetune an open-source #LLM to generate code for a custom language? Not that much effort w/ the right tooling. Read this blog from @QlikDork to learn how he used Predibase to fine-tune #Llama2 to generate custom code—for free.
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OpenAI Releases New Models APIs and Open Source Tools
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Today is the biggest day ever for developers building with @OpenAI We are releasing new models, API’s, open source models, and more. Full details in
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Starting Models from Llama-2 Weights: Technical Considerations
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not if it started from llama-2 weights for example
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Open-source LLMs surge: Can AI R&D regulation work?
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High-performance open-source LLMs popping up around the world.
Does anyone believe regulating AI R&D can be effective?
(Assuming it's useful. Which it is not). -
China’s Yi-34B Model Challenges US LLM Ecosystem Leadership
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I must say China is now behind the U.S. in the LLM ecosystem momentum. The underlying vision for me to start @01AI_Yi is to make better AI accessible to more people. We are glad our first moderate-size Yi-34B performs competitively at a global level. More to come soon after