@simpreetkaur_19: Research papers you must read for AI Engineer interviews: 1. Attention is all you need (Transformers) 2. LoRA (Low rank…
Summary
A curated list of foundational AI papers recommended for interview prep, covering transformers, efficient fine-tuning, vision models, and generative networks.
View Cached Full Text
Cached at: 04/23/26, 06:51 AM
Research papers you must read for AI Engineer interviews: 1. Attention is all you need (Transformers) 2. LoRA (Low rank adaption) 3. PEFT ( Parameter Efficient Fine Tuning) 4. VIT (Vision Transformers) 5. VAE (Variational Auto Encoder) 6. GANs ( Generative Adversarial Networks)
Similar Articles
@TensorTonic: Research papers you must read for ML Engineer interviews: 1. Word2Vec (Word embeddings) 2. Adam (Optimization) 3. Batch…
A tweet lists 10 essential research papers for ML engineer interviews, covering foundational topics from Word2Vec to GPT.
@amitiitbhu: Research papers every LLM engineer must read: - Attention Is All You Need - BERT - GPT-3: Language Models are Few-Shot …
A list of essential research papers for LLM engineers, including key works on transformers, scaling laws, and fine-tuning techniques.
@TheGlobalMinima: Do yourself a favour > go to http://paperswithcode.co > find “most cited” list of papers > read the top 10 papers > one…
Recommends reading the top most cited papers on Papers with Code, one or two per week, to deeply understand influential AI research.
@sairahul1: https://x.com/sairahul1/status/2071522523053744247
A curated list of 10 books for AI engineers in 2026, organized into three layers (foundation, core, advanced), covering Python, software engineering, AI literacy, and production systems.
@tom_doerr: Curated list of AI engineering books, courses, and papers https://github.com/owainlewis/awesome-artificial-intelligence…
A curated collection of must-use resources for building AI systems, including books, courses, and landmark papers.