Decent LLMs could have their "Stable Diffusion" moment within a year – and be able to run locally on your own machine. They are getting smaller and more efficient: Meta's LLaMA 13B model beat GPT-3 in 5:7 zero-shot common sense reasoning tests, with ~92% fewer parameters.
@aibreakfast
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Information about LLaMA, open language model
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More info on LLaMA here: https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/ …
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LLaMA omits GPT’s results from MMLU test chart due to size.
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This was the Massive Multitask Language Understanding test (Humanities, STEM, Social Sciences, etc) When finetuned for the test, LLaMA omitted GPT's superior results from the chart because it is not of "moderate size"
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Meta’s new LLaMA model paper highlights PaLM’s capabilities
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Meta's new AI model LLaMA came out today. The paper was a gentle reminder of how capable Google's 540-billion parameter model PaLM will be.
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Self-custodying your LLM: The future of AI in 2025
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2025: "You don't self-custody your own LLM?"
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NVIDIA CEO predicts AI models 1 million times more powerful than ChatGPT
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Moore's Law in action: NVIDIA CEO Jensen Huang predicts AI models "one million times more powerful than ChatGPT" within 10 years. NVIDIA currently controls an estimated 95% of the AI/ML market with its chips.
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US Copyright Office denies copyright for AI images
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US Copyright Office announces AI-generated images are not eligible for copyright protection, per Reuters
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OpenAI’s Foundry: GPT DV 32k model could generate 8,000+ words per prompt
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OpenAI's "Foundry" product brief: DV 32k model instance could mean this GPT model is capable of producing 8,000+ words per prompt
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German AI startup Aleph Alpha claims 300-billion parameter LLM Luminous-World
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German AI startup @Aleph__Alpha claims it will have a 300-billion parameter Large Language Model "Luminous-World" trained this year for “highly complex and critical applications” (GPT-3 has 175 billion parameters)
