Meet the New Claude Opus 5: Frontier-Class Agentic Coding and Computer Use at Unchanged Opus Pricing
Source: MarkTechPost Today, Anthropic released Claude Opus 5. It replaces Claude Opus 4.8 as the Opus-tier flagship. Pricing...
How to Build an End-to-End OCR Pipeline with Baidu’s Unlimited-OCR for High-Resolution Images and Multi-Page PDF Parsing
Source: MarkTechPost In this tutorial, we build a complete workflow for running Baidu’s Unlimited-OCR model on document images...
You Didn’t Get the AI Model You Paid For
Source: MarkTechPost The line in the response object You call the API. You pass model: “claude-fable-5”. You get...
Meet Gigatoken: A Rust BPE Tokenizer that Encodes Text at 24.53 GB/s, up to 989x Faster than HuggingFace Tokenizers
Source: MarkTechPost Tokenization is the one part of the language modeling stack that almost nobody profiles. Gigatoken, released...
Unsloth vs Axolotl vs TRL vs LLaMA-Factory: A Fine-Tuning Framework Comparison on Speed, VRAM, and Multi-GPU
Source: MarkTechPost Four open source projects dominate LLM fine-tuning today. Unsloth, Axolotl, TRL, and LLaMA-Factory all wrap the...
Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases
Source: MarkTechPost Cisco Foundation AI has released Antares, a family of security small language models (SLMs) built for...
Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber: A Cheaper, More Token-Efficient Flash Tier Built for Agentic Workloads
Source: MarkTechPost Developers building production agents need higher token efficiency, lower latency, and more reliable performance. Today, Google...
Someone Fine-Tuned OpenBMB’s MiniCPM5-1B on Claude Fable 5 Traces to Ship a 657MB Local Thinking Model
Source: MarkTechPost A community developer, GnLOLot, has published a 1B model that runs fully on local hardware. The...
Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared
Source: MarkTechPost A single 24GB card is the practical floor for serious local inference. It is enough for...
Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite
Source: MarkTechPost Most AI agents forget. They process a request, answer it, then drop the context. Google Cloud’s...