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AI/ML Engineering & LLMOps
Training/inference, vector search, RAG, evaluation, safety, and production ML/LLM stacks.
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Latest in AI/ML Engineering & LLMOps
Unlocking the Power of ADISRA SmartView: Your Questions Answered
1+ day, 6+ hour ago (331+ words) Add a short description. Access InsightView & KnowledgeView Demo Using the Rule-Based System in ADISRA SmartViewIn the ADISRA SmartView Development Environment, the rule-based system can be found in the project tree, as seen below. Let us focus on two key parts:…...
GitLab Announces the Foundation for the Governed Software Factory
1+ hour, 40+ min ago (654+ words) GitLab Inc. today announced new capabilities for the governed software factory, a connected system for moving software from idea to production under an organization’s own policy and standards. These new innovations are designed to help organizations ship more AI-generated software…...
Apple study finds minimal agent matches or beats multi-agent ML engineering systems
1+ hour, 9+ min ago (583+ words) Apple researchers report that a single coding agent with shell access matched or beat elaborate multi-agent harnesses on autonomous ML tasks Apple official logo (public domain, Wikimedia Commons) — CryptoBriefing brand treatment The AI industry has spent a lot of energy…...
NVIDIA’s New AI Models: Nemotron 3.5 Lightning, Cosmos 3 and the Future of Agentic AI
1+ week, 6+ day ago (961+ words) Nemotron 3.5 Lightning supports a wide range of digital automation use cases, including customer support agents, billing inquiry handling, and security alert monitoring. Because it integrates easily into multi-agent systems, businesses can build always-on agents that operate efficiently at scale. Cosmos…...
System One Models for Software
2+ week, 4+ hour ago (705+ words) The term borrows from psychologist Daniel Kahneman's Thinking, Fast and Slow, which described two modes of human thought. System 1 is fast, automatic, and intuitive, similar to recognizing a familiar voice on a phone call. System 2 is slow, deliberate, and effortful,…...
System One Models vs LLMs
2+ week, 6+ hour ago (914+ words) The clearest way to understand System One Models vs LLMs is to compare them across a few key dimensions. Speed. System One models are built for near instant responses because they are small and narrowly scoped. LLMs take longer because…...
How WEKA and VAST are tackling AI memory bottlenecks
1+ week, 4+ day ago (605+ words) Both WEKA and VAST Data aim to solve the problem of AI inferencing context history overflowing GPU memory and slowing down large language model (LLM) responsiveness. He adds: “One of the biggest challenges emerging in inference is the impact of expanding…...
BDH-CQ combines in-context learning with reasoning outside the token stream
1+ day, 41+ min ago (1593+ words) Pathway researchers and collaborators have developed a reasoning model that can perform in-context learning without the need for generating intermediate thought tokens like LLMs. The model, called BDH-CQ, combines in-context learning with recurrent latent reasoning, a trend that I’ve been…...
GLM-5.3's "50% Coding Boost" Explained — What Z.ai Actually Measured
13+ hour, 13+ min ago (308+ words) GLM, Zhipu AI, Open Source AI, Coding, Model Launches, AI Benchmarks Z.ai's GLM-5.3 claims a 50% coding boost over GLM-5.2. Here's the actual benchmark behind that number, how it stacks against Kimi K3 and DeepSeek V4, and the license fine print builders should…...
Grok 4.7 on Amazon Bedrock: When to Leave the xAI API
13+ hour, 13+ min ago (1016+ words) Grok AI, SpaceXAI, Amazon Bedrock, AWS, Enterprise AI, Frontier Models Grok 4.7 landed on Amazon Bedrock Sept 28: 500K context, four effort levels, Converse plus OpenAI APIs. When AWS shops should leave the xAI key. This is the same pattern as Grok 4.6 on…...