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Tagged: generative-ai
Generative AI vs Agentic AI: What Really Sets Them Apart
Generative AI answers prompts while agentic AI pursues goals across steps. Learn how trust, risk and value differ and how to tell a real agent from marketing.
6 min readHow Transformers Work, From RNN Bottlenecks to Attention, Agents and Context Windows
A step-by-step tour of the transformer: why RNNs stalled, how tokens and embeddings work, attention, QKV, heads, positions, block structure, scale and agents.
40 min readMaking a Short AI Film in Topview Canvas With the Astra Agent
A step-by-step look at making a short film in Topview Canvas with GPT 6 Astra: setup, the questions the agent asks, sample scenes, and the other studio tools.
8 min readWhy More Detail Makes AI Images Worse: Prompt Priority Over Volume
Overloaded prompts blur your subject. Learn visual hierarchy, a vase case study, targeted negative prompts, model differences and a four-phase prompt method.
7 min readHow AI Reads and Rebuilds a Photo: The Science Behind 1980s Portraits
How vision models turn pixels into embeddings and how generative AI uses them to restyle a photo as 1980s film, with limits on accuracy, identity and detection.
9 min readLangChain Series 1: Understanding Models, Prompts, Chains
LangChain series part 1: models, prompts, chains, memory, indexes and agents explained, plus what you can build with LangChain and an LLM from the start.
9 min readPractical notes: Feature development with Gemini CLI subagents
Operable walkthrough of Practical notes: Feature development with Gemini CLI subagents: contracts, checks, and drop-in code slots for teams shipping this pattern.
8 min readPractical notes: Building a Secure Multi-Agent AI Platform on AWS (& What the
Operable walkthrough of Practical notes: Building a Secure Multi-Agent AI Platform on AWS (& What the: contracts, checks, and drop-in code slots for teams shipping this pattern.
8 min readRAG Is More Than a Chatbot: What Actually Happens Inside
RAG is more than a chatbot: the ingestion engine, vector database, retrieval and generation stages, and why demos hide what production pipelines really need.
15 min read
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