In-depth analyses of recent developments in natural language processing and machine learning, with a focus on LLM evaluation, benchmarking and multilingual machine translation. Posts cite the research literature and add the author's own perspective, including insider updates on Cohere's Command R models.
Website: https://newsletter.ruder.io
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.
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.
Covers applied AI and machine learning, mixing business case studies with hands-on technical tutorials on NLP topics such as Word2Vec and TensorFlow layers. Readers get explanations of concepts plus code notebooks and real-world examples of AI in industry.
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