guys i got LLaMA running on my ti-84 and it drew this what does it mean
OPEN SOURCE
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Llama Model Enables Academic Research on Emergence
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FWIW, I also think Llama is a huge step towards more research from academia on emergence
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NAS Results Reduce Language Model Training Emissions by 1.3X
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It's actually more ironic. The results of one-time NAS (which took 88X less CO2 than the external paper estimated) are open-sourced and make training language models 1.3X faster & produce 1.3X less emissions (see figure 4 in https://
arxiv.org/abs/2104.10350) https://
github.com/tensorflow/ten
sor2tensor/blob/master/tensor2tensor/models/evolved_transformer.py
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LLMs on Commodity Hardware: Cambrian Explosion of Self-Hosted AI
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Cambrian explosion happening lately running LLMs on cheap commodity hardware. For perspective, this is 4x bigger than GPT-2 and only 1 OOM smaller than GPT-3. There's a huge number of security and privacy-conscious applications becoming "good enough" to do self-hosted.
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OpenICL: Open-source toolkit for in-context learning and LLM evaluation
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8/ OpenICL – a new open-source toolkit for in-context learning and LLM evaluation; supports various state-of-the-art retrieval and inference methods, tasks, and zero-/few-shot evaluation of LLMs.
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Loading spaCy models from directories and Hugging Face Hub
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You can also pass a directory to spacy.load() if that's more convenient to you. It's also available on the HF hub.
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LLaMA 65B Now Runs on MacBook Pro
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LLaMA 65B can run on a MacBook! With a different model architecture it could probably run quite faster (we didn't use multi query, for instance) https://t.co/SMdlZC5NOo
— Guillaume Lample @ NeurIPS 2024 (@GuillaumeLample) 11 mars 2023LLaMA 65B can run on a MacBook! With a different model architecture it could probably run quite faster (we didn't use multi query, for instance)
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Visual ChatGPT: Connecting Multiple Foundation Models via Prompting
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I'm super impressed by the "visual" ChatGPT by Microsoft Research Asia, connecting ChatGPT with more than dozen of open-source visual/captioning foundation models through smart prompting
— Thomas Wolf (@Thom_Wolf) 11 mars 2023
Code is super simple, it's a single python file built on top of https://t.co/MQ5PcVyjGi… pic.twitter.com/spcIohmOEfI'm super impressed by the "visual" ChatGPT by Microsoft Research Asia, connecting ChatGPT with more than dozen of open-source visual/captioning foundation models through smart prompting Code is super simple, it's a single python file built on top of https://
github.com/microsoft/visu
al-chatgpt
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OpenXLA Expands Cerebras Wafer-Scale Engine ML Framework Access
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“OpenXLA helps extend our user reach and accelerated time to solution by providing the Cerebras Wafer-Scale Engine with a common interface to higher level ML frameworks,” says our VP of Product, Andy Hock Learn more about the OpenXLA Project here:
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Hackathon Kick-off with AI Expert Panel Discussion
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Hackathon kick-off today! So excited to see all your awesome submissions. Keep a lookout for a panel discussion on Monday with @Nils_Reimers and Andrey Vasnetsov from @qdrant_engine See you soon!