A Cambridge PhD student writes about natural language generation, vision-language models and image synthesis research, including paper pitches, methodology guides and opinion on generative AI. Readers get first-hand research explanations and practical guidance on how to describe and run NLP experiments.
Website: https://www.jinghong-chen.net/
Sebastian Ruder's blog covers natural language processing and machine learning research, with in-depth posts on LLM evaluation, benchmark reliability, Chatbot Arena rankings and zero-shot and low-resource machine translation. Readers get technical analysis of recent model results and the research context behind them.
Hands-on Python tutorials on fine-tuning, running and deploying open-source language models, with a focus on the author's own Eric Transformer and Eric Search packages. Issues walk through GPU setup on Runpod, full-parameter fine-tuning, vector search, RAG and building chat web apps.
A practical blog-style newsletter by a product manager who teaches SQL and BigQuery techniques, including AI-driven sentiment analysis, local LLM NLP on sensitive data, and histograms. Readers get step-by-step code, worked examples on public datasets, and candid notes on the limits of each method.
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