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MarkTechPost
15  décembre     22h44
How to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and Reflexive Orchestration
Asif Razzaq    In this tutorial, we explore how we design and run a full agentic AI orchestration pipeline powered by semantic routing, symbolic guardrails, and self-correction loops using Gemini. We walk through how we structure agents, dispatch tasks, enforce constraints, and refine outputs using a clean,...
14  décembre     03h01
OpenAI has Released the circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges
Asif Razzaq    OpenAI team has released their openai circuit-sparsity model on Hugging Face and the openai circuit sparsity toolkit on GitHub. The release packages the models and circuits from the paper Weight-sparse transformers have interpretable circuits . What is a weight sparse transformer? The models are...
13  décembre     06h22
5 AI Model Architectures Every AI Engineer Should Know
Arham Islam    Everyone talks about LLMs but today’s AI ecosystem is far bigger than just language models. Behind the scenes, a whole family of specialized architectures is quietly transforming how machines see, plan, act, segment, represent concepts, and even run efficiently on small devices. Each of these...
    06h00
Nanbeige4-3B-Thinking: How a 23T Token Pipeline Pushes 3B Models Past 30B Class Reasoning
Michal Sutter    Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling, distillation...
12  décembre     21h14
How to Design a Fully Local Agentic Storytelling Pipeline Using Griptape Workflows, Hugging Face Models, and Modular Creative Task Orchestration
Asif Razzaq    In this tutorial, we build a fully local, API-free agentic storytelling system using Griptape and a lightweight Hugging Face model. We walk through creating an agent with tool-use abilities, generating a fictional world, designing characters, and orchestrating a multi-stage workflow that produces a...
11  décembre     20h04
OpenAI Introduces GPT 5.2: A Long Context Workhorse For Agents, Coding And Knowledge Work
Asif Razzaq    OpenAI has just introduced GPT-5.2, its most advanced frontier model for professional work and long running agents, and is rolling it out across ChatGPT and the API. GPT-5.2 is a family of three variants. In ChatGPT, users see ChatGPT-5.2 Instant, Thinking and Pro. In the API, the corresponding...
    19h07
CopilotKit v1.50 Brings AG-UI Agents Directly Into Your App With the New useAgent Hook
Asif Razzaq    Agent frameworks are now good at reasoning and tools, but most teams still write custom code to turn agent graphs into robust user interfaces with shared state, streaming output and interrupts. CopilotKit targets this last mile. It is an open source framework for building AI copilots and in-app...
    17h56
The Machine Learning Divide: Marktechpost’s Latest ML Global Impact Report Reveals Geographic Asymmetry Between ML Tool Origins and Research Adoption
Michal Sutter    Los Angeles, December 11, 2025 Marktechpost has released ML Global Impact Report 2025 (AIResearchTrends.com). This educational report’s analysis includes over 5,000 articles from more than 125 countries, all published within the Nature family of journals between January 1 and September 30, 2025....
10  décembre     05h19
Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development
Asif Razzaq    Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source command line coding assistant that runs inside the terminal or IDEs that support the Agent Communication Protocol. Devstral 2 and Devstral...
09  décembre     22h50
A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time
Asif Razzaq    In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they store action sequences, carry...