GaLore, A Memory-Saving Method for Pretraining and Fine-Tuning LLMs
Low-rank adaptation (LoRA) reduces memory requirements when fine-tuning large language models, but it isn’t as conducive to pretraining. Researchers devised a…
FactTune, A Method to Fine-Tune LLMs for Factual Accuracy Without Human Feedbackdeeplearning.ai
Stanford Researchers Coin “Moloch’s Bargain,” Show Fine-Tuning Can Affect Social Valuesdeeplearning.ai
From AI Experiments to AI Productsdeeplearning.ai
Zhipu’s GLM-Image Blends Transformer and Diffusion Architectures For Better Text in Imagesdeeplearning.ai
Independent AI Testing Authority Turns From Saturated Knowledge Benchmarks to Harder Business Testsdeeplearning.ai
Secretary of War Pete Hegseth Calls Claude a Security Risk, Replaces It With GPT Modelsdeeplearning.ai
The Go Memory Model - The Go Programming LanguageGo
How Ramp automated receipt processing with fine-tuned LLMsModal
What is a Load/Store Unit?Modal
PostgreSQL and Ducks: The Perfect Analytical PairingMotherduck
Memo-ry: Simplifying Daily Tasks for People with Memory Loss - CerebrasCerebras
How AI Assistants Can Decode GitHub Repos for UI WritersDocker
Config and Secret environment variablesVercel
Issue a new certVercel
Autogenerating API documentation from OpenAPIMintlify
What is Global Memory?Modal
What is Memory Coalescing?Modal
Memory snapshots: Checkpoint/restore for sub-second startupModal
What is Tensor Memory?Modal
Beating proprietary models with a quick fine-tuneModal
