2024 Evolution Episode 2: TimeGPT Time-Series Forecasting Model
This episode introduces Nixtla TimeGPT for time-series forecasting, covering API tokens, data format, forecast calls, horizons, and visualization. It…
QYTANG EVOLUTION
Explore complete public sessions by year and follow how technology evolves.
This episode introduces Nixtla TimeGPT for time-series forecasting, covering API tokens, data format, forecast calls, horizons, and visualization. It…
This episode builds a task-specific custom GPT through instruction design, knowledge files, capabilities, conversation starters, and iterative testin…
This episode introduces AWS Bedrock's managed foundation-model platform and unified APIs across Claude, Llama, and Mistral. It covers permissions, mo…
This episode interprets Cisco's AI Readiness Index across strategy, infrastructure, data, talent, and governance, then connects those findings to AIO…
This episode runs Llama 3 with Ollama and integrates it through LangChain ChatOllama, covering model download, service startup, parameters, streaming…
This episode uses LangChain to extract structured data from network logs and other unstructured text through schemas, field descriptions, constrained…
This episode deploys AnythingLLM with local knowledge bases, document ingestion, vector retrieval, model selection, workspace isolation, and multi-ag…
This two-part episode builds an AI foundation for network engineers across machine learning, deep learning, generative AI, and learning paradigms, th…
This episode covers Neo4j nodes, relationships, properties, and Cypher for network topology, paths, and device modeling, then connects graph database…
This episode explains Mem0's user, session, and agent memory layers, including fact and preference extraction, hybrid vector/key-value/graph storage,…
This episode introduces Meta Llama Stack's standard APIs for inference, safety, memory, agents, evaluation, post-training, synthetic data, and provid…
This episode compares fixed-size, recursive, document-specific, and semantic chunking, using sentence embeddings and breakpoints to preserve meaning …
This episode uses OpenAI Swarm agents, function tools, context variables, and handoffs to build a lightweight multi-agent AIOps workflow for fault an…
This episode builds a closed-loop AIOps workflow where metric alerts and logs trigger context collection, AI diagnosis, and controlled automation too…