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AI Interview Series #3: Explain Federated Learning
9+ mon, 2+ week ago (434+ words) “You’re an ML engineer at a fitness company like Fitbit or Apple Health. Millions of users generate sensitive sensor data every day — heart rate, sleep cycles, step counts, workout patterns, etc. You want to build a model that predicts health…...
xAI launches Grok-4-Fast: Unified Reasoning and Non-Reasoning Model with 2M-Token Context and Trained End-to-End with Tool-Use Reinforcement Learning (RL)
11+ mon, 3+ week ago (464+ words) xAI introduced Grok-4-Fast, a cost-optimized successor to Grok-4 that merges “reasoning” and “non-reasoning” behaviors into a single set of weights controllable via system prompts. The model targets high-throughput search, coding, and Q&A with a 2M-token context window and…...
Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing
10+ mon, 4+ day ago (331+ words) The research paper from Google ‘Nested Learning, The Illusion of Deep Learning Architectures’ models a complex neural network as a set of coherent optimization problems, nested or running in parallel, that are optimized together. Each internal problem has its own…...
Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills
1+ day, 8+ hour ago (308+ words) Deployable: Yes. It runs on Claude Code v2.1.269 or later against any directory with a plugin.json or.claude-plugin/plugin.json manifest, or a skills-directory plugin. Every eval run and judge grader is a real model call billed to your plan…...
Google AI Research Proposes Vantage: An LLM-Based Protocol for Measuring Collaboration, Creativity, and Critical Thinking
4+ mon, 4+ week ago (840+ words) Standardized tests can tell you whether a student knows calculus or can parse a passage of text. What they cannot reliably tell you is whether that student can resolve a disagreement with a teammate, generate genuinely original ideas under pressure,…...
Meet SymTorch: A PyTorch Library that Translates Deep Learning Models into Human-Readable Equations
6+ mon, 1+ week ago (223+ words) SymTorch simplifies the engineering required to extract symbolic equations from trained models...
The 'Bayesian' Upgrade: Why Google AI’s New Teaching Method is the Key to LLM Reasoning
6+ mon, 3+ day ago (440+ words) Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating beliefs based on new evidence, they are surprisingly stubborn. A team of researchers from Google argue that the current crop…...
AI Interview Series #1: Explain Some LLM Text Generation Strategies Used in LLMs
10+ mon, 3+ day ago (364+ words) perform better with lower ones. I am a Civil Engineering Graduate (2022) from Jamia Millia Islamia, New...
MBZUAI Releases K2 Think V2: A Fully Sovereign 70B Reasoning Model For Math, Code, And Science
7+ mon, 2+ week ago (317+ words) K2 V2 is a dense decoder only transformer with 80 layers, hidden size 8192, and 64 attention heads with grouped query attention and rotary position embeddings. It is trained on around 12 trillion tokens drawn from the TxT360 corpus and related curated datasets that cover web text,…...
Understanding the Layers of AI Observability in the Age of LLMs
7+ mon, 4+ week ago (639+ words) Let us now understand the different layers of AI observability with the help of an example. This is why traces and spans are important. A trace represents the complete lifecycle of a single resume submission—from the moment the file…...