41 related articles

Freesolo Flash is a full-stack platform for enterprise small language model (SLM) training that commoditizes reinforcement learning, enabling teams to train specialized AI models at low cost.

Deep analysis of RL hyperparameter tuning challenges and 9-policy multi-teacher distillation in Kimi K2/K3 training, exploring the shift from scale to training craft.

DeepSeek's paper 'Thinking with Visual Primitives' was online for just 4 hours before being pulled. It uses bounding boxes and points as reasoning primitives, letting models 'point at' images to outperform GPT, Gemini, and Claude on maze navigation and counting.

Videos on Bilibili claiming free access to GPT-5.6 and Claude are traffic scams. Learn how to spot fake AI offers, understand the real risks, and find safe alternatives.

Cosine AI founder reveals how the UK's first sovereign LLM is being built — from government compute grants and RL credit attribution to multi-agent orchestration and synthetic data pipelines.

From Qwen1 to Qwen3-2507: a complete breakdown of six generations of evolution over two years — GQA, MoE, GRPO, dynamic thinking, and the core shift from architecture to reasoning.

Zhipu AI's Z.ai founder teases a new GLM model just one month after GLM 5.2. We decode the announcement, explore likely upgrade directions, and analyze China's LLM iteration pace.

Step-by-step guide to wrapping DeepSeek-R1 with an Ollama Modelfile — set temperature, system prompts, and run fully offline for privacy and flexibility.

A four-stage AI Agent development roadmap: from core theory and ReAct paradigm to multi-agent collaboration and production deployment. Covers DeepSeek, Coze, Dify, and more.

New to AI? This guide clarifies AI, machine learning, deep learning, and LLMs, traces milestones from Deep Blue to DeepSeek, and maps out China's LLM landscape.
Three Core Gaps in Multimodal LLMs: Fr…
Microsoft Research India reveals three core gaps in multimodal LLMs: visual perception blindspots, cognitive hallucination, and architectural limitations. Explores Faithful GRPO, behavior modeling, and model alignment breakthroughs.

ICML Outstanding Paper 'The Flexibility Trap' reveals how dLLMs' arbitrary-order generation bypasses logical connectives, breaking reasoning. JustGRPO fixes this with autoregressive training + parallel inference, achieving 89.1% on GSM8K in under 60 lines of code.

CSDN founder Jiang Tao analyzes how DeepSeek uses open source to challenge ChatGPT's dominance — from technical transparency to national AI strategy.

RAM (Reinforce Adjoint Matching) achieves 50x faster RL post-training for diffusion models by discarding path costs, combining ODE sampling with decorrelated training objectives. A deep dive into RAM's core principles and experiments vs. Flow-GRPO.

The iFLYTEK T30 Lite learning tablet features the Spark large model and DeepSeek dual AI engines, a 12.5-inch eye-care display, and 8GB+512GB storage. This in-depth review analyzes its hardware, AI learning capabilities, and buying advice for K12 families.

A systematic guide to the four-stage AI Agent development path: core concepts, principle paradigms like ReAct, RL and multi-agent optimization, and real-world projects. Mastering Agent development is the true hardcore edge in today's LLM field.

An AI research engineer with 3 years of experience sent 50 applications to FAANG with zero replies. This article breaks down the hidden barriers of top-tech AI roles, the truth about LinkedIn ghost jobs, and the MLE vs. Research Engineer divide.

A complete AI Agent learning roadmap covering BDI theory, core components (Perception/Planning/Execution), AutoGen multi-agent frameworks, and DeepSeek RAG projects for beginners.

Kun is an open-source AI coding agent optimized for DeepSeek and domestic users, with nearly 5,000 GitHub stars. Features include requirements drafting, inline diffs, cost visualization, and mobile monitoring. Real-world cache hit rates reached 97%, keeping costs extremely low.

A new web tool visualizes and lets users edit AI chain-of-thought reasoning. Explore how it works, its use cases, and the limits of LLM interpretability.