#post-training

130 related articles

Jul 15, 2026·4 min

RAM: First-Principles Approach to 50x Faster RL Post-Training for Diffusion Models

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.

Jun 15, 2026·3 min

Fireworks Platform Adds Nemotron 3 Ultra Post-Training Support: End-to-End Fine-Tuning and Deployment

Fireworks AI adds NVIDIA Nemotron 3 Ultra post-training support with SFT, DPO, LoRA, and full fine-tuning, enabling seamless train-to-deploy workflows for open-weight LLM customization.

Jul 28, 2026·3 min

Kimi K3 Deep Dive: How a 3 Trillion Parameter Open-Weight Model Reaches the Frontier

Deep dive into Kimi K3: the largest open-weight model at 3 trillion parameters, surpassing Opus-level models in Agentic coding with 896-expert MoE architecture, 1M token context, at Sonnet pricing.

Jul 28, 2026·3 min

Deep Dive into Inkling: The First Frontier Open-Source Multimodal LLM from the West

Thinking Machines releases Inkling, an open-source multimodal LLM with near-trillion MoE parameters, 1M token context, Apache 2.0 license. Deep dive into architecture, benchmarks, and pricing.

Jul 28, 2026·4 min

Laguna S 2.1 Deep Dive: Hands-On Local Deployment of a 118B Parameter Coding Model

In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.

Jul 28, 2026·4 min

Kimi K3 Deep Dive: 2.8 Trillion Parameter Open-Source Model Closes the Gap with Closed-Source Frontier for the First Time

Moonshot AI releases Kimi K3 open-weight model with 2.8T parameters and 1M token context. Our deep dive covers coding, 3D dev, agent capabilities, and safety concerns.

Jul 28, 2026·3 min

Why Kimi K3's Open-Source Model Has OpenAI and Anthropic Running Scared

Deep analysis of the AI industry shockwave triggered by Kimi K3: the double standard behind distillation accusations, performance comparisons with GPT-5.5, real security concerns, and how open-source models threaten closed-source giants.

Jul 28, 2026·3 min

Why Kimi K3's Open-Source Model Has OpenAI and Anthropic Running Scared

Deep dive into why Kimi K3 is rattling OpenAI and Anthropic: distillation double standards, GPT-5.5 comparisons, real security risks, and how open-source models threaten closed-source business models.

Jul 28, 2026·3 min

Google Launches Gemini 4 Pre-training: Its Most Ambitious AI Model Training Yet

Google DeepMind announces Gemini 4 pre-training has begun, calling it their most ambitious training yet. A deep dive into its technical direction, compute scale, multimodal breakthroughs, and competitive impact.

Jul 28, 2026·2 min

Gemini 3.5 Flash-Lite Released: The Smallest, Fastest Model Outperforms Gemini 3

Google launches Gemini 3.5 Flash-Lite, its smallest and fastest AI model that outperforms Gemini 3 in most scenarios. Learn about its key advantages, cost benefits, and impact on developers.

Jul 27, 2026·3 min

Poolside Laguna Model Launch: Can Silicon Valley's Open-Source Push Catch Up to China's AI?

Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?

Jul 27, 2026·3 min

Poolside Laguna Model Release: Can Silicon Valley Open Source Catch Up with Chinese AI?

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?

Jul 27, 2026·5 min

Getting Started with Codex: Four Product Forms Explained & How to Choose Between Cursor, Claude Code, and Codex

In-depth analysis of OpenAI Codex's four forms (CLI, web, plugin, app), comparing Codex, Claude Code, and Cursor on price, stability, and use cases to help developers choose the right tool.

Jul 27, 2026·3 min

Deep Dive into the Kimi-K3 Technical Report: A Comprehensive Analysis of Architecture, Long-Context Processing, and Reasoning Capabilities

Deep dive into Moonshot AI's Kimi-K3 technical report, analyzing its long-context processing, MoE architecture, reasoning improvements, and its position in global AI competition.

Jul 27, 2026·3 min

Deep Dive into the Kimi-K3 Technical Report: Architecture, Long Context, and Reasoning Capabilities

Deep analysis of Moonshot AI's Kimi-K3 technical report covering long context processing, MoE architecture, reasoning capabilities, and China's position in the global AI competition.

Jul 27, 2026·2 min

Gemini 3.6 Flash Leaked: The Flash Series Moves Toward Frontier Territory

Reddit leaks Gemini 3.6 Flash model. The word 'frontier' suggests Google DeepMind is bringing cutting-edge capabilities to the lightweight Flash branch.

Jul 27, 2026·3 min

Claude Opus's Autonomous Debugging Capabilities: What It Means When AI Proactively Writes Test Harnesses

New Claude Opus proactively writes test harnesses to observe runtime behavior. We analyze how this shift from passive code generation to autonomous debugging marks a key evolution in AI programming.

Jul 25, 2026·3 min

Laguna S 2.1: The Open-Source Coding Model That's 14x Smaller Yet Stronger

Poolside releases Laguna S 2.1, an open-source agentic coding model: 118B total params with only 8B active, scoring 40.4% on DeepSWE — ~4.5x DeepSeek V4 Pro Max. Supports 1M-token context, deployable on a single workstation.

Jul 24, 2026·3 min

OpenAI Releases GPT-5.6 and ChatGPT Work: The Era of Autonomous AI Has Arrived

OpenAI launches GPT-5.6 (Sol, Terra, Luna), ChatGPT Work, a new desktop app, and Sites hosting. AI evolves from a Q&A tool into an autonomous work partner for finance, file management, and more.

Jul 24, 2026·6 min

AI Application Engineer Interview Guide: Core Topics in Model Quantization and Inference Deployment

A systematic review of must-know topics for AI Application Engineer interviews: PTQ/QAT quantization, operator fusion, inference pipelines, latency/throughput analysis, and edge deployment of detection/segmentation/BEV models.