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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
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
If you are searching for free LLM APIs, chances are you already want to build something with AI. A chatbot. A coding assistant. A data analysis workflow. Or a quick prototype without burning money on infrastructure. The good news is that you no longer need paid subscriptions or complex model hosting to get started. Many leading
Moxie Marlinspike—the pseudonym of an engineer who set a new standard for private messaging with the creation of the Signal Messenger—is now aiming to revolutionize AI chatbots in a similar way. His latest brainchild is Confer, an open source AI assistant that provides strong assurances that user data is unreadable to the platform operator, hackers,
Signal creator Moxie Marlinspike wants to do for AI what he did for messaging Read More »
AI systems feel smarter than ever. They answer quickly, confidently, and with polish. But beneath that surface, something subtle is going wrong. Outputs are getting safer. Ideas are getting narrower. Surprise is disappearing – less aweful. This matters because AI is increasingly involved in how we search, decide, create, and evaluate. When these systems lose
What is Model Collapse? Examples, Causes and Fixes Read More »
The LangChain ecosystem provides an important set of tools with which to construct an application using Large Language Models (LLMs). However, when the names of the companies such as LangChain, LangGraph, LangSmith, and LangFlow are mentioned, it is often difficult to know where to begin. This is a guide that shows an easy way around
LangChain vs LangGraph vs LangSmith vs LangFlow: Choosing the Right LLM Toolkit Read More »
The core idea behind Chain of Thought (CoT) is to encourage an AI model to reason step by step before producing an answer. While the concept itself is not new and is essentially a structured way of asking models to explain their reasoning, it remains highly relevant today. Interest in CoT increased again after OpenAI
More machine learning systems now rely on AI agents, which makes careful safety evaluation essential. With more and more vulnerabilities coming to the fray, it’s nigh impossible for a single unified protocol to stay up to date with them all. This piece introduces MLflow as a practical framework for testing and monitoring agentic systems through
Track and Monitor AI Agents Using MLflow: Complete Guide for Agentic Systems Read More »
