AI Infrastructure

AI Infrastructure Artificial Intelligence

A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning
ByRicardo May 2, 2026

In this tutorial, we stroll by way of an entire, hands-on journey of post-training massive language fashions utilizing the highly effective TRL (Transformer Reinforcement Learning) library ecosystem. We begin from a light-weight base mannequin and progressively apply 4 key methods: Supervised Fine-Tuning (SFT), Reward Modeling (RM), Direct Preference Optimization (DPO), and Group Relative Policy Optimization…

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Agentic AI AI Infrastructure

Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
ByRicardo May 2, 2026

Large language fashions are remarkably succesful, but frustratingly opaque. When a mannequin misbehaves — producing responses within the mistaken language, repeating itself endlessly, or refusing protected requests — AI devs have only a few instruments to diagnose why it occurred on the stage of inside computations. That’s the issue Qwen-Scope is constructed to unravel. Qwen…

Read More Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
Agentic AI AI Infrastructure

Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks
ByRicardo May 1, 2026

The group behind Kimi.ai (Moonshot AI) simply made a major contribution to the open-source AI infrastructure area. The analysis group has made a major contribution to the open-source AI infrastructure area. They launched FlashKDA (Flash Kimi Delta Attention), a high-performance CUTLASS-based kernel implementation of the Kimi Delta Attention (KDA) mechanism. The FlashKDA library is offered…

Read More Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks
AI Infrastructure AI Shorts

Top 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
ByRicardo May 1, 2026

As massive language fashions scale to longer context home windows and serve extra concurrent customers, the key-value (KV) cache has emerged as a major reminiscence bottleneck in manufacturing inference programs. For a 30-billion-parameter mannequin with a batch measurement of 128 and an enter size of 1,024 tokens, the ensuing KV cache can occupy as much…

Read More Top 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
Agentic AI AI Infrastructure

Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
ByRicardo May 1, 2026May 1, 2026

The race to make massive language fashions sooner and cheaper to run has largely been fought at two ranges: the mannequin structure and the {hardware}. But there may be a third, typically underappreciated frontier — the GPU kernel. A kernel is the low-level computational routine that really executes a mathematical operation on the GPU. Writing…

Read More Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
AI in Industry AI Infrastructure

The rise of agent experience (AX)
ByRicardo April 30, 2026

For thirty years, an important side of product administration has been the event of graphical person interfaces. We have realized the best way to seize the main focus of customers utilizing visible hierarchy and take away friction from one click on. The person inhabitants is altering. Automated bots exceeded human-generated site visitors on the Internet…

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Agentic AI AI Infrastructure

A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing
ByRicardo April 26, 2026April 26, 2026

In this tutorial, we discover kvcached, a dynamic KV-cache implementation on high of vLLM, to know how dynamic KV-cache allocation transforms GPU reminiscence utilization for giant language fashions. We start by establishing the surroundings and deploying light-weight Qwen2.5 fashions by way of an OpenAI-compatible API, making certain a sensible inference workflow. We then design managed…

Read More A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing
Agentic AI AI Infrastructure

Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness
ByRicardo April 25, 2026

There is a quiet failure mode that lives on the middle of each AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to change a perform. The agent does it confidently, cleanly, and incorrectly — as a result of it had no concept that 47 different features trusted the return kind it simply modified….

Read More Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness
Agentic AI AI Infrastructure

DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts
ByRicardo April 25, 2026

DeepSeek-AI has launched a preview model of the DeepSeek-V4 sequence: two Mixture-of-Experts (MoE) language fashions constructed round one core problem making one-million-token context home windows sensible and reasonably priced at inference time. The sequence consists of DeepSeek-V4-Pro, with 1.6T whole parameters and 49B activated per token, and DeepSeek-V4-Flash, with 284B whole parameters and 13B activated…

Read More DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts
Agentic AI AI Infrastructure

Mend Releases AI Security Governance Framework: Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
ByRicardo April 24, 2026

There’s a sample enjoying out inside nearly each engineering group proper now. A developer installs GitHub Copilot to ship code quicker. An information analyst begins querying a brand new LLM instrument for reporting. A product staff quietly embeds a third-party mannequin right into a characteristic department. By the time the safety staff hears about any…

Read More Mend Releases AI Security Governance Framework: Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model

AI Infrastructure

A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning

Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools

Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks

Top 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods

Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs

The rise of agent experience (AX)

A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing

Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness

DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts

Mend Releases AI Security Governance Framework: Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model

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