Nikhil Verma·Jul 15ACL 2026: Scaling Intelligence, Evaluation, and Responsibility in NLPI recently had the opportunity to attend ACL 2026 in San Diego, and it felt less like a conference and more like a snapshot of where the…
Nikhil Verma·Sep 2, 2025Modern Alignment and Post-training of LLMsLLMs, though powerful, often generate unhelpful or unpredictable outputs if left solely to their pretraining data. Post-training alignment…
Nikhil Verma·Jul 30, 2025ACL 2025 — My First Dive into the NLP UniverseI’ll try to collect my thoughts and share, for reference, what I noted during ACL 2025. To begin with — it was the largest NLP conference…
Nikhil Verma·Apr 4, 2025Scale baby Scale — Test-time scale!Inference scaling or Test-time scaling is the latest buzzword capturing the interest of everyone working in the high-boiling field of AI…
Nikhil Verma·Jan 22, 2024Long-Context Large Language ModelsLanguage modeling has captured the attention of researchers over the years, leading to numerous iterations and modifications of proposed…
Nikhil Verma·Dec 27, 2023Beyond Basics: A Comprehensive Interview Question Bank for DL, NLP, and Diffusion ModelsGone are the days when a basic understanding of machine learning sufficed for tech interviews. Today, employers seek candidates who can…
InAI AdvancesbyNikhil Verma·Sep 14, 2023The Symphony of Numbers: Inside the GPU’s Power of 2 ArchitectureIn the heart of the data center, where the pulse of artificial intelligence reverberates, lies a remarkable piece of technology — the…A response icon1A response icon1
Nikhil Verma·Aug 25, 2023Long-Range Transformer with Unlimited Length InputPretrained transformers generally have a context window of 512 (e.g. BERT , T5 ) or 1024 tokens (e.g. BART), which are sufficient lengths…
