Artificial Intelligence #169

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.

This issue is sponsored by Verta and Pachyderm.

• [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

More than 650,000 subscribers are reading this newsletter. If you are building an AI or a data product or service, you can become a sponsor of one of the future newsletter issues and get your business featured in the newsletter. Feel free to contact?[email protected]?for more details on sponsorships.

Enjoy the newsletter? Help us make it bigger and better by sharing it with colleagues and friends.