Artificial Intelligence #169
Andriy Burkov
PhD in AI, ML at TalentNeuron, author of ?? The Hundred-Page Machine Learning Book and ?? the Machine Learning Engineering book
Hey, in this issue: ChatGPT outperforms crowd-workers for text-annotation tasks; the stickle-brick approach to big AI; a tutorial on finetuning LLMs on a single GPU using gradient accumulation; ChatGPT is polluting the web; and more.
- [IEEE]?The stickle-brick approach to big AI
- [Tutorial]?Finetuning LLMs on a single GPU?using gradient accumulation
- [ArXiv]?ChatGPT outperforms crowd-workers?for text-annotation tasks
- [Tutorial]?Logging for ML model deployments
- [Sponsored] Verta |?Try Verta Model Catalog free?to manage all your ML models
Join this 30-minute event?to see how easy it is to manage your ML models on the industry’s leading platform.?Verta Model Catalog centrally manages all model assets?with integrated deployment, versioning & monitoring to establish governance and enable collaboration and visibility in model performance.
- [Microsoft] SynapseML:?an open-source machine learning framework for distributed ML on Apache Spark
- [Data] A collection of?open-source datasets to train instruction-following LLMs
- [Sponsored]?Completing machine learning loop
- ‘As an AI language model’:?the phrase that shows how AI is polluting the web
- Stability AI launches the first of its?StableLM suite of language models
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Alberto Candellero
Guilherme Maciel
Andriy Burkov
Giulio Garbini
Laura Kyttanen Marzia Benelli