LLMs

Auto Added by WPeMatico

DeepSeek OCR 2: AI That Reads Documents Like Humans

If you’ve worked with DeepSeek OCR, you already know it was efficient at extracting text and compressing documents. Where it often fell short was reading order and layout-heavy pages, multi-column PDFs, dense tables, and mixed content still needed cleanup. DeepSeek OCR 2 is DeepSeek’s answer to that gap. Instead of focusing only on compression, this update shifts attention […]

DeepSeek OCR 2: AI That Reads Documents Like Humans Read More »

Is Kimi K2.5 the BEST Open-source Model of 2026?

My favourite open-source AI model just got a major upgrade..Kimi K2.5 is here! LLMs excel at answering questions and writing code, but real work spans messy documents, images, incomplete data, and long decision chains. Most AI systems still struggle in these environments. Moonshot AI built Kimi K2.5 to close this gap by bringing multimodal, agentic intelligence to

Is Kimi K2.5 the BEST Open-source Model of 2026? Read More »

AgentScope AI: A Complete Guide to Building Scalable Multi-Agent Systems with LLMs 

Modern AI applications rely on intelligent agents that think, cooperate, and execute complex workflows, while single-agent systems struggle with scalability, coordination, and long-term context. AgentScope AI addresses this by offering a modular, extensible framework for building structured multi-agent systems, enabling role assignment, memory control, tool integration, and efficient communication without unnecessary complexity for developers and

AgentScope AI: A Complete Guide to Building Scalable Multi-Agent Systems with LLMs  Read More »

Model Quantization Guide: Reduce Model Size 4x with PyTorch

I just downloaded the latest 4 Billion parameter model. I hit ‘Run‘. After a while, the Google Colab instance crashes. Sounds familiar? Well this is bound to happen if we don’t pay attention to the required VRAM and what VRAM we are providing to the model. Quantization is something that can help you tackle this

Model Quantization Guide: Reduce Model Size 4x with PyTorch Read More »

GLM-4.7 Flash: The AI Powerhouse Built for Developers 

The future of artificial intelligence is here and to the developers, it is in the form of new tools that transform the way we code, create and solve problems. GLM-4.7 Flash, an open-source large language model by Zhipu AI, is the latest big entrant but not simply another version. This model brings great power and

GLM-4.7 Flash: The AI Powerhouse Built for Developers  Read More »

Overrun with AI slop, cURL scraps bug bounties to ensure “intact mental health”

The project developer for one of the Internet’s most popular networking tools is scrapping its vulnerability reward program after being overrun by a spike in the submission of low-quality reports, much of it AI-generated slop. “We are just a small single open source project with a small number of active maintainers,” Daniel Stenberg, the founder

Overrun with AI slop, cURL scraps bug bounties to ensure “intact mental health” Read More »

MCPToolbox for Databases: A Practical Guide to Bridging LLMs and Your Data 

Talking to software feels natural now, until you need real business data. That’s where things usually break. MCPToolbox to Databases fixes this by giving AI agents safe, reliable access to production databases through a standardized MCP interface. Databases become first-class tools that agents can inspect, query, and reason over using clean, production-ready natural language to

MCPToolbox for Databases: A Practical Guide to Bridging LLMs and Your Data  Read More »

What are Recursive Language Models (RLM)?

Large language models are great. We all can agree to that. They’ve been a cornerstone of modern industry and are increasingly impacting more and more domains.  With constant upgrades and improvements to the architecture and capabilities of language models, one might think – That’s it! Alas… A recent development under the name of RLM or

What are Recursive Language Models (RLM)? Read More »

What is Context Window in LLM? Explained in 2 Minutes

We interact with LLMs every day. We write prompts, paste documents, continue long conversations, and expect the model to remember what we said earlier. When it does, we move on. When it doesn’t, we repeat ourselves or assume something went wrong. What most people rarely think about is that every response is constrained by something

What is Context Window in LLM? Explained in 2 Minutes Read More »