692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU
691: A.I. Accelerators: Hardware Specialized for Deep Learning
690: How to Catch and Fix Harmful Generative A.I. Outputs
689: Observing LLMs in Production to Automatically Catch Issues
688: Six Reasons Why Building LLM Products Is Tricky
687: Generative Deep Learning, with David Foster
686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu
685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake
684: Get More Language Context out of your LLM
683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller
682: Business Intelligence Tools, with Mico Yuk
681: XGBoost: The Ultimate Classifier, with Matt Harrison
680: Automating Industrial Machines with Data Science and the Internet of Things (IoT)
679: The A.I. and Machine Learning Landscape, with investor George Mathew
678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU
677: Digital Analytics with Avinash Kaushik
676: The Chinchilla Scaling Laws
675: Pandas for Data Analysis and Visualization
674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)
673: Taipy, the open-source Python application builder
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