#post-training

130 related articles

Jul 11, 2026·7 min

GPT-5.6 Becomes Microsoft Copilot 365's Preferred Model: An In-Depth Look at the OpenAI-Microsoft Partnership

OpenAI confirms GPT-5.6 as the preferred model for Microsoft Copilot 365, responding to "breakup rumors." A deep dive into the strategy, multi-model trends, and AI productivity commercialization.

Jul 10, 2026·5 min

Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

Jul 10, 2026·6 min

Tencent Hunyuan HY3 Official Version Open-Sourced: The Strongest Under 300B, at 1 Yuan per Million Tokens

Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.

Jul 10, 2026·4 min

DeepSeek-V4 Deep Dive: Million-Token Context Architecture Breakthrough and Core Innovations

Deep dive into DeepSeek-V4: 1.6T-parameter MoE, CSA+HCA hybrid attention, MHC & MUON optimizer. Inference FLOPs drop to 27% of V3.2, redefining open-source LLM SOTA.

Jul 10, 2026·6 min

AI's Second Half: The Decisive Battle Shifts from Models to Infrastructure

Model capabilities are converging, making inference cost and scalability the new focus of AI competition. A deep analysis of AI infrastructure's core layers.

Jul 10, 2026·7 min

Krea2 Tested: Does the FP8 vs BF16 Quality Gap Still Exist?

A Reddit user compared FP8 and BF16 precision on the Krea2 model and found almost no difference in image quality. This article analyzes the technical reasons behind the shrinking quantization gap and its real-world impact on VRAM usage and inference speed.

Jul 10, 2026·5 min

TensorRT Multi-Device Inference: Engineering Practices for Breaking Through Single-GPU Memory Bottlenecks

NVIDIA TensorRT now supports multi-device inference via pipeline and tensor parallelism, distributing large models across multiple GPUs to break through single-card memory limits.

Jul 10, 2026·2 min

GPT-5.6 Sol Series Coming Soon: A Deep Dive into the Three-Model Architecture

OpenAI may release the GPT-5.6 series this Thursday, featuring three models: Sol, Terra, and Luna. A deep dive into the naming logic, product strategy, and competitive implications.

Jul 10, 2026·5 min

5 Things You Must Do Before Deploying AI Agents to Production (With a Banking POC Case Study)

Over 60% of AI Agent projects die between demo and production. This article breaks down Databricks lead Sandy's five-pillar methodology and a bank POC case study to help you avoid the most common deployment pitfalls.

Jul 10, 2026·7 min

The Five Pillars of Production-Grade AI Agents: A Battle-Tested Guide from Demo to Deployment

Databricks tech lead Sandy shares a five-pillar framework for production-grade AI Agents—evaluation, observability, data foundation, orchestration, and governance—with a £85K retail banking failure case to bridge the demo-to-production gap.

Jul 10, 2026·6 min

Deploying Enterprise AI Agents to Production: The Five Pillars from Demo to Launch

A Databricks expert breaks down the complete methodology for taking AI Agents from demo to production, covering the five pillars of evaluation, observability, data foundation, multi-Agent orchestration, and AI governance, with a real eight-week banking chatbot POC case.

Jul 9, 2026·4 min

FTPO: A Training-Level Solution to AI Repetition Loops

FTPO (Final Token Preference Optimization) tackles AI "Doom Loops" at the training level rather than patching them at inference time — exploring its principles, value for small/quantized models, and open challenges.

Jul 9, 2026·3 min

16GB VRAM Showdown: Ornith 35B vs Qwen 35B — Full Benchmark Comparison

Ornith 35B vs Qwen 3.6 35B on 16GB VRAM: 24+ hours of benchmarks covering inference speed, 256K context, tool calling, HumanEval, and real coding challenges.

Jul 9, 2026·4 min

The AI Story Bubble: Cutting Through the Hype to Find Real Value

When "AI-powered" becomes a magic phrase for valuation premiums, are companies paying for technology or for a story? A deep analysis of AI hype cycles, the gap between narrative and reality, and how to identify genuine AI value.

Jul 8, 2026·6 min

Made by Google Event Confirmed: New Pixel Phones with AI Capabilities Coming Soon

Google confirms the Made by Google hardware event in NYC, unveiling next-gen Pixel phones with new Tensor chips and deep Gemini AI integration. On-device AI gets a major upgrade.

Jul 8, 2026·2 min

Harvard's Open-Source Textbook cs249r: A Complete Guide to Machine Learning Systems Engineering

Harvard's open-source textbook cs249r (Machine Learning Systems) has 25,600+ GitHub stars. It covers ML systems engineering, TinyML, and MLOps — free for everyone.

Jul 8, 2026·6 min

GPT-5.6 Three-Model Family Launch: A Complete Breakdown of Sol/Terra/Luna Capabilities and the Government Restriction Incident

OpenAI officially launches the GPT-5.6 family, including the Sol flagship, Terra balanced, and Luna lightweight models. Coding capabilities set a new industry benchmark, generating a Minecraft clone in 90 minutes—while OpenAI publicly opposes U.S. government release restrictions.

Jul 8, 2026·3 min

Unsloth v0.1.45-beta Released: 2x Faster LLM Fine-Tuning with 70% Less VRAM

Unsloth v0.1.45-beta (PyPI: 2026.6.2) delivers 2x faster LLM fine-tuning and up to 70% VRAM reduction. Now at 67.9k GitHub stars, upgrade via pip install.

Jul 8, 2026·2 min

Zhipu GLM 5.2 Deep Dive: Can Open-Weight Models Challenge Top Closed-Source AI?

Zhipu GLM 5.2 review: open weights released within 24hrs, built for long-horizon Agent tasks. Strong benchmarks, standout writing & frontend design, at a fraction of closed-model pricing.

Jul 7, 2026·4 min

Ternlight: A 7MB Browser-Side Embedding Model for Server-Free Semantic Search

Ternlight is a 7MB WebAssembly-based browser-side text embedding model requiring no server or GPU. Explore its tech, use cases, and tradeoffs for private, offline semantic search.