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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 »
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 »
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 »
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 »
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 »
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 »
If you are up to date with the recent developments of AI and LLMs, you probably have realized that a major part of the progress is still through building larger models or better computation routing. Well, what if there is one more alternate route? Along came Engram! A revolutionary method of DeepSeek AI that is
DeepSeek Engram: The Future of Memory-Augmented Language Models Read More »
Microsoft has fixed a vulnerability in its Copilot AI assistant that allowed hackers to pluck a host of sensitive user data with a single click on a URL. The hackers in this case were white-hat researchers from security firm Varonis. The net effect of their multistage attack was that they exfiltrated data, including the target’s
A single click mounted a covert, multistage attack against Copilot Read More »
n8n has set out itself as one of the best low-code AI development platforms. The characteristic drag-and-drop interface of n8n has won the hearts of many coders and non-coders alike. The low entry barrier and high skill ceiling makes it the perfect tool for executing ideas on the go. But there is something missing… It’s
5 n8n Projects to Master Low-Code AI Automation Read More »
LLMs like ChatGPT, Claude, and Gemini, are often considered intelligent because they seem to recall past conversations. The model acts as if it got the point, even after you made a follow-up question. This is where LLM memory comes in handy. It allows a chatbot to go back to the point of what “it” or
How Does LLM Memory Work? Read More »
