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Ahead of AI

实时热榜 · 科技

1 个榜单9小时前更新默认榜单

Ahead of AI · 实时热榜

9小时前更新

01
Language Models for Text Classification: From Bag-of-Words to Jev
A Visual Guide to RNNs, CNNs, Transformers, and Calibration, with Hands-On Experiments on Accuracy and EfficiencySebastian Raschka, PhD
02
GPT-6 Astra, Looped Transformers, and Hidden Reasoning
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer BlocksSebastian Raschka, PhD
03
How Claude Watermarks AI-Generated Text
A 48-minute video walkthrough of token sampling, watermark detection, and removalSebastian Raschka, PhD
04
Building an AI Text Detector From Scratch
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVRSebastian Raschka, PhD
05
Controlling Reasoning Effort in LLMs
How LLMs Learn Low-, Medium-, and High-Effort Reasoning ModesSebastian Raschka, PhD
06
Using Local Coding Agents
Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex SubscriptionsSebastian Raschka, PhD
07
LLM Research Papers: The 2026 List (January to May)
A curated roundup of notable LLM research papers that came out this yearSebastian Raschka, PhD
08
Recent 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 CostsSebastian Raschka, PhD
09
My Workflow for Understanding LLM Architectures
A learning-oriented workflow for understanding new open-weight model releasesSebastian Raschka, PhD
10
Components of A Coding Agent
How coding agents use tools, memory, and repo context to make LLMs work better in practiceSebastian Raschka, PhD
11
A Visual Guide to Attention Variants in Modern LLMs
From MHA and GQA to MLA, sparse attention, and hybrid architecturesSebastian Raschka, PhD
12
A 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 2026Sebastian Raschka, PhD
13
Categories of Inference-Time Scaling for Improved LLM Reasoning
And an Overview of Recent Inference-Scaling PapersSebastian Raschka, PhD
14
The 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
15
LLM 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
16
From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Understanding How DeepSeek's Flagship Open-Weight Models EvolvedSebastian Raschka, PhD
17
Beyond Standard LLMs
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive TransformersSebastian Raschka, PhD
18
Understanding the 4 Main Approaches to LLM Evaluation (From Scratch)
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code ExamplesSebastian Raschka, PhD
19
Understanding and Implementing Qwen3 From Scratch
A Detailed Look at One of the Leading Open-Source LLMsSebastian Raschka, PhD
20
From GPT-2 to gpt-oss: Analyzing the Architectural Advances
And How They Stack Up Against Qwen3Sebastian Raschka, PhD

共 20 条热搜查看完整榜单

Ahead of AI热榜 | 什么火了