Artificial Intelligence #194

Hey, in this issue: scaling large language models with PyTorch Lightning; inverting transformers significantly improves time series forecasting; using AI to automate game development; DocsGPT: chat with your documents; a tutorial on training and deploying Mistral 7B with Hugging Face on Amazon SageMaker; and more.

The sponsors of this issue are AtScale and Tecton .

• Scaling large language models with PyTorch Lightning
• Tsinghua University: inverting transformers significantly improves time series forecasting
• GameGPT: using AI to automate game development
• [Sponsored] Get collective advice from 15 thought leaders and industry experts

Check out this collaborative book project with 15 data leaders & industry experts feat. Bill Inmon, Kirk Borne, Juan Gorricho, Ram Kumar, Megan Brown. Get a digital copy of this complimentary book here: https://bit.ly/atscale-1

• AI chatbots can guess your personal information from what you type
• [Project] DocsGPT: GPT-powered chat for documentation, chat with your documents
• [Nature] Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
• [Sponsored] Event: Join Meta, PepsiCo, RiotGames, Uber & More at apply(ops), the biggest virtual conference for ML data engineering .
• [Tutorial] Train and deploy Mistral 7B with Hugging Face on Amazon SageMaker
• [Tutorial] Personalize your generative AI applications with Amazon SageMaker Feature Store

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