Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results The post Fine-Tune Your Topic Modeling Workflow with BERTopic appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original…

Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple terms The post Coconut: A Framework for Latent Reasoning in LLMs appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the…

A beginner-friendly introduction to LLM-as-a-Judge The post How to Use LLMs for Powerful Automatic Evaluations appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Deciphering GPT-OSS Performance: Why Inference Setup Matters

We explore the performance variability across different API providers and benchmark tests, highlighting significant discrepancies in speed, cost, and intelligence.

https://artificialanalysis.ai/models/gpt…

Learn LangGraph fundamentals from Google’s open-source full-stack implementation The post LangGraph 101: Let’s Build A Deep Research Agent appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Generated by RSStT. The copyright belongs to the original author. Source

Generated by RSStT. The copyright belongs to the original author. Source

Improve your LLM by optimizing its context The post How to Create Powerful LLM Applications with Context Engineering appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Generated by RSStT. The copyright belongs to the original author. Source

Part 2: Prompt Engineering for Features, Modeling, and Evaluation The post Advanced Prompt Engineering for Data Science Projects appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Your 3am production alert isn't a model problem—it's an upstream crisis in disguise The post The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original…

When clean code hides inefficiencies: what we learned from fixing a few lines of code and saving 90% in LLM cost. The post How We Reduced LLM Costs by 90% with 5 Lines of Code appeared first on Towards Data Science. Generated by RSStT. The copyright belongs…

Learn how to validate large scale LLM applications The post How to Perform Comprehensive Large Scale LLM Validation appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

AI and how to stand against the surveillance nightmare

Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up a dashboard using Langfuse The post LLM Monitoring and Observability: Hands-on with Langfuse appeared first on Towards Data Science. Generated by RSStT.…

Extracting structured information effectively and accurately from long unstructured text with LangExtract and LLMs The post Using Google’s LangExtract and Gemma for Structured Data Extraction appeared first on Towards Data Science. Generated by RSStT. The…

Learn how to compare LLMs using your own interal benchmark The post How to Develop Powerful Internal LLM Benchmarks appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Language models are becoming really good. But where did they come from? The post A Brief History of GPT Through Papers appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

What is a large language model (LLM) and how does it work? Here's what you need to know about LLMs and the future of privacy-first AI.

Generated by RSStT. The copyright belongs to the original author. Source