AI 101
Machine learning fundamentals explained: LLMs, agents, RAG, transformers, inference & RL. Turing Post's AI 101 series — updated weekly.
AI 101
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16 min read
Jul 21, 2026
Reasoning Models Explained: o1, DeepSeek-R1 & Beyond
What is a reasoning model? How it differs from standard LLMs, how Chain-of-Thought works, and how to compare o1, DeepSeek-R1, Qwen 3 & top models of 2026.
AI 101
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8 min read
Jul 10, 2026
Whisper Model Explained: OpenAI’s Open-Source Speech Recognition Model in 2026
Learn how OpenAI’s Whisper model works, what it does well, where it fails, and how to run Whisper locally or through an API.
AI 101
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16 min read
Jul 6, 2026
VLA Models Explained: Architecture, Types & the Leap to VLA+
What are VLA models? Learn Vision-Language-Action architecture, key systems (π0, Helix, SmolVLA) & the leap to VLA+. Deep dive.
AI 101
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11 min read
Jul 5, 2026
GRPO Explained: Group Relative Policy Optimization
GRPO (Group Relative Policy Optimization) is a critic-free RL algorithm for LLM training. Learn how it works, how it differs from PPO, and its role in DeepSeek-R1
AI 101
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11 min read
Jul 1, 2026
What is Qwen-Agent framework? Inside the Qwen family
Qwen-Agent explained: tool calling, planning, memory, and how to build AI agents with Alibaba's open-source Qwen models — from QwQ-32B to Qwen2.5-VL.
AI 101
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14 min read
Jun 20, 2026
How Responsible AI Changes In The Agent Era
Responsible AI is becoming infrastructure for AI agents: runtime controls, system accountability, human oversight, and safeguards for tools that act
AI 101
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14 min read
Jun 18, 2026
What Is JEPA? LeCun Architecture & World Models
JEPA is Yann LeCun's framework for world modeling: predicts abstract representations, not pixels. Covers I-JEPA, V-JEPA, VL-JEPA, LeJEPA, and physical AI.
AI 101
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17 min read
Jun 13, 2026
AI 101: Hermes Agent vs OpenClaw: Local AI Agents Compared
Hermes Agent vs OpenClaw compared: memory architecture, self-improving skills, scheduling, and safety. Which local AI agent fits your workflow?
AI 101
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15 min read
Jun 4, 2026
What is Cosmos World Foundation Model Platform?
NVIDIA Cosmos is a world foundation model platform for Physical AI: tokenizer, diffusion and autoregressive WFMs, guardrails, and Cosmos 3 omnimodal world model.
AI 101
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11 min read
May 31, 2026
LeJEPA: Provable Self-Supervised Learning Without Heuristic
LeJEPA by Yann LeCun: provably stable self-supervised learning without heuristics. SIGReg, isotropic Gaussian embeddings & world models explained.
AI 101
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8 min read
May 11, 2026
xLSTM Explained: Extended LSTM vs Transformers
xLSTM extends classic LSTM with exponential gating and matrix memory. Learn how it compares to Transformers, what sLSTM and mLSTM are, and when to use it.
AI 101
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12 min read
May 6, 2026
AI 101: Agentic Vector Databases – What Is That?
How vector databases are evolving for AI agents: agentic RAG with Qdrant, memory layers with Weaviate Engram, and Pinecone Nexus knowledge engine explained.
