auto_awesome Applied AI / LLM 335

rss_feed Eugene Yan ·16.03.2025

Improving Recommendation Systems & Search in the Age of LLMs

descriptionтекст 8580 сл.

rss_feed Eugene Yan ·12.01.2025

Building AI Reading Club: Features & Behind the Scenes

descriptionтекст 1982 сл.

rss_feed Eugene Yan ·22.12.2024

2024 Year in Review

descriptionтекст 1194 сл.

rss_feed Eugene Yan ·01.12.2024

Seemingly Paradoxical Rules of Writing

descriptionтекст 306 сл.

rss_feed Hamel Husain ·30.11.2024

Building an Audience Through Technical Writing: Strategies and Mistakes

descriptionтекст 1502 сл.

rss_feed Eugene Yan ·24.11.2024

How to Run a Weekly Paper Club (and Build a Learning Community)

descriptionтекст 1304 сл.

rss_feed Eugene Yan ·17.11.2024

My Minimal MacBook Pro Setup Guide

descriptionтекст 1015 сл.

rss_feed Eugene Yan ·03.11.2024

39 Lessons on Building ML Systems, Scaling, Execution, and More

descriptionтекст 1953 сл.

rss_feed Hamel Husain ·29.10.2024

Using LLM-as-a-Judge For Evaluation: A Complete Guide

descriptionтекст 6270 сл.

rss_feed Eugene Yan ·27.10.2024

AlignEval: Building an App to Make Evals Easy, Fun, and Automated

descriptionтекст 2811 сл.

rss_feed Eugene Yan ·22.09.2024

Weights & Biases LLM-Evaluator Hackathon - Hackathon Judge

descriptionтекст 331 сл.

rss_feed Eugene Yan ·08.09.2024

Building the Same App Using Various Web Frameworks

descriptionтекст 1731 сл.

rss_feed Eugene Yan ·18.08.2024

Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)

descriptionтекст 9822 сл.

rss_feed Hamel Husain ·29.07.2024

An Open Course on LLMs, Led by Practitioners

descriptionтекст 788 сл.

rss_feed Eugene Yan ·07.07.2024

How to Interview and Hire ML/AI Engineers

descriptionтекст 4393 сл.

rss_feed Eugene Yan ·27.06.2024

AI Engineer 2024 Keynote - What We Learned from a Year of LLMs

descriptionтекст 484 сл.

rss_feed Eugene Yan ·31.05.2024

Netflix PRS 2024 - Applying LLMs to Recommendation Experiences

descriptionтекст 293 сл.

rss_feed Eugene Yan ·26.05.2024

Prompting Fundamentals and How to Apply them Effectively

descriptionтекст 4071 сл.

rss_feed Eugene Yan ·12.05.2024

What We've Learned From A Year of Building with LLMs

descriptionтекст 1 сл.

rss_feed Hamel Husain ·12.04.2024

Debugging AI With Adversarial Validation

descriptionтекст 640 сл.

rss_feed Eugene Yan ·07.04.2024

Building an AI Coach to Help Tame My Monkey Mind

descriptionтекст 822 сл.

rss_feed Eugene Yan ·31.03.2024

Task-Specific LLM Evals that Do & Don't Work

descriptionтекст 6752 сл.

rss_feed Hamel Husain ·29.03.2024

Your AI Product Needs Evals

descriptionтекст 3831 сл.

rss_feed Hamel Husain ·27.03.2024

Is Fine-Tuning Still Valuable?

descriptionтекст 537 сл.