#LLM post-training

106 related articles

Jul 11, 2026·6 min

Zuckerberg Admits AI Progress Falls Short of Expectations: The Industry Truth Behind the Layoffs

Meta laid off 8,000 to bet on AI, yet Zuckerberg admits AI agents fell short of expectations. A look at the collective 'AI reflection' among OpenAI, Microsoft, and Google, plus research on AI's selective impact on jobs.

Jul 11, 2026·6 min

GPT-5.6 Sol Limited Preview: The Safety Boundaries Behind AI's Capability Expansion

OpenAI's flagship GPT-5.6 advances on three fronts—Sol, Kara, Luna tiered rollout; ByteDance CGN 5.0 Pro and Meta Muse push image generation toward controllable workflows; AI coding agents expose new supply chain risks.

Jul 11, 2026·3 min

ComfyUI-INT4-Fast: Running Flux Models Smoothly on 6GB GPUs

ComfyUI-INT4-Fast brings W4A4 quantized inference to ComfyUI. RTX 3060 (6GB VRAM) generates 1024×1024 images in 17s. Per-layer mixed-precision routing balances speed and quality for Flux models.

Jul 11, 2026·2 min

GPT-5.6 Official Launch: What's the Difference Between the Sun, Earth, and Moon Versions?

OpenAI officially launches GPT-5.6 with three celestial-named versions: Sun, Earth, and Moon. Learn what sets them apart, the rollout schedule, and what to expect.

Jul 11, 2026·5 min

Ollama Raises $65M Series B: 85% of Fortune 500 Have Already Deployed Local LLMs

Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.

Jul 11, 2026·7 min

50 AI Research Job Applications to FAANG, 0 Replies? Unpacking the Truth Behind the Job Search Struggle

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.

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, 2026·3 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.