GPT-6 Astra, Looped Transformers, and Hidden Reasoning
आवर्ती गहराई, छिपी तर्क और लूप की पड़ताल…
Sebastian Raschka, PhD द्वारा
Intel · स्रोत
Ahead of AI
radar ने Ahead of AI से जो कुछ भी उठाया, सबसे नया पहले।
21 आइटम एकत्र किए गए
How Claude Watermarks AI-Generated Text
A 48-minute video walkthrough of token sampling, watermark detection, and removal
Sebastian Raschka, PhD द्वाराBuilding an AI Text Detector From Scratch
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Sebastian Raschka, PhD द्वाराControlling Reasoning Effort in LLMs
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
Sebastian Raschka, PhD द्वाराUsing Local Coding Agents
Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions
Sebastian Raschka, PhD द्वाराLLM Research Papers: The 2026 List (January to May)
A curated roundup of notable LLM research papers that came out this year
Sebastian Raschka, PhD द्वाराRecent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention
From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
Sebastian Raschka, PhD द्वाराMy Workflow for Understanding LLM Architectures
A learning-oriented workflow for understanding new open-weight model releases
Sebastian Raschka, PhD द्वाराComponents of A Coding Agent
How coding agents use tools, memory, and repo context to make LLMs work better in practice
Sebastian Raschka, PhD द्वाराA Visual Guide to Attention Variants in Modern LLMs
From MHA and GQA to MLA, sparse attention, and hybrid architectures
Sebastian Raschka, PhD द्वाराA Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026
A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026
Sebastian Raschka, PhD द्वाराCategories of Inference-Time Scaling for Improved LLM Reasoning
And an Overview of Recent Inference-Scaling Papers
Sebastian Raschka, PhD द्वाराThe State Of LLMs 2025: Progress, Problems, and Predictions
A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026.
Sebastian Raschka, PhD द्वाराLLM Research Papers: The 2025 List (July to December)
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible.
Sebastian Raschka, PhD द्वाराFrom DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Understanding How DeepSeek's Flagship Open-Weight Models Evolved
Sebastian Raschka, PhD द्वाराBeyond Standard LLMs
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers
Sebastian Raschka, PhD द्वाराUnderstanding the 4 Main Approaches to LLM Evaluation (From Scratch)
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples
Sebastian Raschka, PhD द्वाराUnderstanding and Implementing Qwen3 From Scratch
A Detailed Look at One of the Leading Open-Source LLMs
Sebastian Raschka, PhD द्वाराFrom GPT-2 to gpt-oss: Analyzing the Architectural Advances
And How They Stack Up Against Qwen3
Sebastian Raschka, PhD द्वाराThe Big LLM Architecture Comparison
From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design
Sebastian Raschka, PhD द्वाराLLM Research Papers: The 2025 List (January to June)
A topic-organized collection of 200+ LLM research papers from 2025
Sebastian Raschka, PhD द्वारा