Tag:
≥20min
(14)Evaluating Long-Context Question & Answer Systems
Evaluation metrics, how to build eval datasets, eval methodology, and a review of several benchmarks.
Improving Recommendation Systems & Search in the Age of LLMs
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
18 Aug 2024 · 49 min · llm eval production survey 🔥
How to Interview and Hire ML/AI Engineers
What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.
07 Jul 2024 · 21 min · machinelearning career leadership 🔥
Task-Specific LLM Evals that Do & Don't Work
Evals for classification, summarization, translation, copyright regurgitation, and toxicity.
How to Generate and Use Synthetic Data for Finetuning
Overcoming the bottleneck of human annotations in instruction-tuning, preference-tuning, and pretraining.
Evaluation & Hallucination Detection for Abstractive Summaries
Reference, context, and preference-based metrics, self-consistency, and catching hallucinations.
Patterns for Building LLM-based Systems & Products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
30 Jul 2023 · 66 min · llm engineering production 🔥
More Design Patterns For Machine Learning Systems
9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more.
23 Apr 2023 · 20 min · machinelearning engineering production recsys
Patterns for Personalization in Recommendations and Search
A whirlwind tour of bandits, embedding+MLP, sequences, graph, and user embeddings.
13 Jun 2021 · 25 min · teardown recsys machinelearning deeplearning
Search: Query Matching via Lexical, Graph, and Embedding Methods
An overview and comparison of the various approaches, with examples from industry search systems.
25 Apr 2021 · 21 min · teardown machinelearning production 🔥
Real-time Machine Learning For Recommendations
Why real-time? How have China & US companies built them? How to design & build an MVP?
10 Jan 2021 · 21 min · teardown machinelearning recsys production 🔥
NLP for Supervised Learning - A Brief Survey
Examining the broad strokes of NLP progress and comparing between models
16 Aug 2020 · 23 min · llm deeplearning survey
How to Set Up a Python Project For Automation and Collaboration
After this article, we'll have a workflow of tests and checks that run automatically with each git push.
21 Jun 2020 · 20 min · engineering production python productivity
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