ML4Devs Newsletter

Issues

ChatGPT Alternatives That Deserve Your Attention
· β˜• 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.

Who Cares if Big Data Is Dead!
· β˜• 5 min read
Newsletter Issue 20: What really matters is the quality of the data, the data literacy at the organization, and the motives behind using data analytics.

The Rise of ChatGPT: Separating Hype from Reality
· β˜• 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
· β˜• 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?

SQL Renaissance
· β˜• 3 min read
Newsletter Issue 17: SQL is dead. Long liveΒ SQL. Why SQL is thriving even after 48 years. Resources to learn and master SQL.

Which Data Pipeline Orchestration Tool Is Right For You?
· β˜• 6 min read
Newsletter Issue 16: With diverse data sources, multi-cloud, and data mesh scenarios becoming increasingly common, a misfit data pipeline orchestration tool can multiply yourΒ woes.

Chasm of AI Security Between Research and Products
· β˜• 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 humanΒ goals have become real.

What Are Data, Machine Learning, and MLOps Pipelines?
· β˜• 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...
· β˜• 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.