As we work to regulate artificial intelligence, it's critical that we not lose sight of the profound potential of quantum computing. This disruptive technology, if it lives up to its projected potential, is likely to present a complex set of challenges. Microblog @antgrasso
RESEARCH
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InstructZero: Efficient Instruction Optimization for Black-Box LLMs
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InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models paper page: https://
huggingface.co/papers/2306.03
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… Large language models~(LLMs) are instruction followers, but it can be challenging to find the best instruction for different situations, especially for -
PokemonChat: Auditing ChatGPT’s Pokémon Universe Knowledge
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PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge paper page: https://
huggingface.co/papers/2306.03
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… probe ChatGPT for its conversational understanding and introduce a conversational framework (protocol) that can be adopted in future studies. The Pok'emon universe serves as an -
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking
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LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion paper page: https://
huggingface.co/papers/2306.02
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… present LLM-Blender, an ensembling framework designed to attain consistently superior performance by leveraging the diverse strengths of multiple -
Explore 4 New Arts and AI Experiments
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Try 4 new Arts and AI experiments https://
bit.ly/45iGxjP #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Orca: 13B Model Learning from GPT-4 Explanation Traces
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4 paper page: https://
huggingface.co/papers/2306.02
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… develop Orca, a 13-billion parameter model that learns to imitate the reasoning process of LFMs. Orca learns from rich signals from GPT-4 including explanation traces; -
Stability AI Paper Controversy and Latent Diffusion Discussion
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Saw the discussions regarding Stability AI today, & I am a bit surprised that the paper behind it was allegedly swept under the rug.
I do think it was known that it was based on Latent Diffusion? Covered it back in 2022 in an early Ahead of AI issue: https://
magazine.sebastianraschka.com/p/ahead-of-ai-
4-a-big-year-for-ai
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Google Search Claims Vermeer Used AI to Create Paintings
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Google search for Johannes Vermeer today (June 5, '23). Apparently he used AI to produce his paintings.
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GPU Memory Capacity vs Mixed-Precision Training Support Trade-offs
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Hah, yes, same. But it's basically 1 GPU with multiple cores. I am more excited about the 192 Gb GPU memory here. But then, would it support mixed-precision training and bfloat 16? Probably no. So that's actually worse than than an A100 with 48 Gb for example.
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CORN Method for Finetuning LLMs on Prediction Tasks
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Oh, and I should have emphasized that you can use our CORN (Conditional Ordinal Regression for Neural Networks) method to finetune your favorite LLM for prediction tasks, or course! An example for TripAdvisor customer reviews here: https://
github.com/Raschka-resear
ch-group/coral-pytorch/blob/main/docs/tutorials/pytorch_lightning/distilbert-corn-tripadvisor.ipynb
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