ML – Machine Learning for Developers

ChatGPT Alternatives That Deserve Your Attention

📅 Mar 9, 2023 · ☕ 3 min read

Newsletter Issue 21: Several Large Language Models are emerging: Google Bard/LaMDA, Meta's LLaMA, Amazon's Multimodal-CoT, HuggingFace's Bloom, and open-source ChatLLaMA.

The Rise of ChatGPT: Separating Hype from Reality

📅 Feb 8, 2023 · ☕ 6 min read

Newsletter Issue 19: ChatGPT is part of OpenAI's GPT-3 family of large language models. It is immensely powerful but can confidently hallucinate too. Here is what ChatGPT can and can't do.

MLOps: All-in-One Platform vs Piecemeal Tools

📅 Dec 21, 2022 · ☕ 2 min read

Newsletter Issue 18: Should you choose an all-in-one MLOps platform from your cloud provider or cobble together a solution from piecemeal tools?

Chasm of AI Security Between Research and Products

📅 Oct 21, 2022 · ☕ 4 min read

Newsletter Issue 15: AI research continues to amaze us, but are those safe to use in products and services? Concerns about AI aligning with human goals have become real.

What Are Data, Machine Learning, and MLOps Pipelines?

📅 Oct 8, 2022 · ☕ 3 min read

Newsletter Issue 14: Data pipelines transport data to the warehouse/lake. Machine Learning pipelines transform data before training/inference. MLOps pipelines automate ML workflows.

AI is Like Teenage Sex...

📅 Sep 23, 2022 · ☕ 3 min read

Newsletter Issue 13: Don't fall for the "AI-first" hype. Focus on being "data-first" and ML/AI will naturally follow.

Survey of Machine Learning Lifecycle

📅 Sep 12, 2022 · ☕ 15 min read

Survey of data science and machine learning lifecycle from resource-constrained batch data mining era to current MLOps era of CI/CD/CT at the cloud scale.