Inteligencia Artificial Generativa: dónde estamos y a dónde vamos #podcast
GENERATIVE AI
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Enterprise LLM Integration Q&A Session Announced
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Enterprise LLM Tech Talk on Thursday! On Thursday, June 22nd at 11:00 AM PT, we will discuss how enterprises can incorporate large language models into their organizations. This 30-minute Q&A will be interactive. See link below for details: https://
hubs.li/Q01T-cl90 -
Diffusion Models Training 70% Faster with Competitive Performance
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In fig, comparison with diffusion models on ImageNet-256×256 with and without guidance. The area of each bubble indicates the FLOPs for a single forward pass during training. Our method is more compute-efficient with competitive performance: reduces training time by ~70%
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Asymmetric Transformer Architecture with Masked Patch Reconstruction
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Ours is an asymmetric transformer encoder-decoder architecture: encoder on unmasked patches + decoder on full patches. To promote learning, we add an auxiliary task of reconstructing masked patches to denoising score-matching objective that learns the score of unmasked patches.
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AI’s Potential to Enhance Human Creativity and Humility
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TY Arianna! Glad we both see potential for AI to enhance human creativity and humility. Here’s the op-ed w/out paywall: Let's Give AI a Chance https://
bit.ly/Boston-Globe-O
p-Ed-on-AI-May-2023
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Masked Training Reduces Diffusion Model Training Costs by 70%
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Reduce training cost of diffusion models by ~70% through masked training of transformer backbones. Masked training is popular for self-supervised representation learning, but we are first to show for #GenerativeAI https://
github.com/Anima-Lab/Mask
DiT
… @wn8_nie @Kay12400259 @ArashVahdat -
SFT, RLHF, and Process Supervision: Fine-tuning Techniques Compared
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fine-tuning in this context:
– SFT/BC (supervised fine tuning & behavioral cloning) as a baseline, but is not powerful enough & has limitations
– RLHF/RLAIF as the big cannons
– Process Supervision, a la the recent @openai @hunterlightman paper as the newest hot technique -
Functions Usage Experience Webinar with DBuniatyan
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This is great exploration of `functions` usage!
— Harrison Chase (@hwchase17) 19 juin 2023
Excited to add @DBuniatyan to our functions webinar this Wednesday to talk through his experience using it! https://t.co/t1n8o6rX2bThis is great exploration of `functions` usage! Excited to add @DBuniatyan to our functions webinar this Wednesday to talk through his experience using it!
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Fine-tuning Essential: Beyond Prompting for LLM Product Control
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thesis I am becoming convicted in: prompting alone—atop even the best LLMs—is NOT enough model control to build a compelling, sticky product as with software, tons of the value comes from fine-grained optimizations, and you can't do that with prompts alone you NEED fine tuning
