BREAKING : GLM-4.7 by @Zai_org scored 42% on the HLE benchmark, representing a 38% improvement over GLM-4.6 and approaching GPT-5.1 performance. New SOTA open source on SWE?
OPEN SOURCE
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LLaDA2.0: Converting Auto-Regressive Models to Discrete Diffusion
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LLaDA2.0, a new method that converts existing auto-regressive models into discrete diffusion models using a novel 3-phase training scheme. This approach preserves the model's learned knowledge while unlocking parallel decoding. The resulting models, LLaDA2.0-mini (16B) and
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Building AI Applications: Complete Architecture Pipeline with LangChain
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Building AI Applications from Scratch Made by the LangChain Community Learn complete AI app architecture through a 5-step pipeline using LangChain's Document Loaders, Vector Stores, Retrievers & Agents—solving context limits and hallucinations. Watch:
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Production-Ready AI Agents with Persistent Storage and Memory Patterns
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Oracle AI Developer Hub Production-ready AI agents with persistent storage. Six memory patterns for LangChain agents using Oracle AI Database for scalable context management, plus RAG with evaluation frameworks. Repository: https://
github.com/oracle-devrel/
oracle-ai-developer-hub/blob/main/notebooks/memory_context_engineering_agents.ipynb
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Made by the LangChain -
Google Open-Sources Context Engineering Playbook for Autonomous Agents
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Google just open-sourced their context engineering playbook. And it's not just theory. They show exactly how to implement everything using their Agent Development Kit. Here's why this matters: We've moved past single-turn chatbots. Organizations are deploying autonomous agents
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Google releases MCP repository for AI agent integration
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Link to the repo:
→ http://
github.com/google/mcp -
Google Launches MCP GitHub Repository with Tools Resources
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Really cool drop. @_PhilSchmid and the Google folks just created a GitHub repo for all MCP at @Google You'll get info on their remote managed MCP servers, open source MCP servers, examples, and learning resources. Repo in ↓
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vLLM-Omni: Multi-Modal Framework for Text, Image, Video, Audio
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vLLM just got a major upgrade! Originally built for autoregressive text-based LLM serving, vLLM-Omni now lets you serve text, image, video, and audio models – all from a single framework. You can also serve diffusion models for fast parallel generation. 100% open-source.
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Modern AI and Machine Learning Technologies Guide
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Artificial Intelligence: A Modern Approach! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode