Hacker News
- Finetuning Large Language Models https://magazine.sebastianraschka.com/p/finetuning-large-language-models 70 comments
- Finetuning Large Language Models -- An introduction to the core ideas and approaches https://magazine.sebastianraschka.com/p/finetuning-large-language-models 2 comments learnmachinelearning
Linking pages
- Finetuning LLMs Efficiently with Adapters https://magazine.sebastianraschka.com/p/finetuning-llms-with-adapters 3 comments
- Fine Tuning LLMs - learnings from the DeepLearning SF Meetup https://www.anti-vc.com/p/fine-tuning-llms-learnings-from-the 2 comments
- A comprehensive guide to learning LLMs (Foundational Models) https://www.linkedin.com/pulse/comprehensive-guide-learning-llms-foundational-models-yeddula/ 1 comment
- Learn AI — Senko Rašić https://blog.senko.net/learn-ai 0 comments
- The Developer Experience for Building with AI https://bytesizedai.substack.com/p/the-developer-experience-for-building 0 comments
- Top 5 AI Substacks to Follow in 2024 https://aiauthority.dev/5-ai-dedicated-substacks-you-must-follow-in-2024 0 comments
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Understanding Large Language Models - by Sebastian Raschka https://magazine.sebastianraschka.com/p/understanding-large-language-models 53 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 18 comments
- https://arxiv.org/abs/1707.06347 3 comments
- https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf 1 comment
- https://arxiv.org/abs/2203.02155 0 comments
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