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AI Large Model Application Practice
AI Large Model Application Practice
Oct 13, 2025 · Artificial Intelligence

How to Tame LLM Agents: Proven Strategies to Reduce Uncertainty and Boost Reliability

This article outlines practical techniques—including prompt engineering, domain fine‑tuning, retrieval‑augmented generation, structured outputs, workflow constraints, model parameter control, behavior rules, risk‑based AI participation, and comprehensive governance—to curb the unpredictability of large language model agents in enterprise settings.

AI AgentAI governanceLLM
0 likes · 18 min read
How to Tame LLM Agents: Proven Strategies to Reduce Uncertainty and Boost Reliability
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 14, 2024 · Artificial Intelligence

How Alibaba Cloud OpenSearch Powers RAG: Insights from AICon 2024

In this talk, Alibaba Cloud's OpenSearch RAG team shares their year‑long journey of building retrieval‑augmented generation systems, covering data parsing, slicing, vectorization, hybrid retrieval, model fine‑tuning, performance optimizations, cost reduction, and future directions such as multimodal queries and agents.

AI searchHybrid RetrievalLLM
0 likes · 25 min read
How Alibaba Cloud OpenSearch Powers RAG: Insights from AICon 2024
DataFunSummit
DataFunSummit
Dec 15, 2023 · Artificial Intelligence

Enterprise Large‑Model Deployment, Data Governance, and Cost Economics – Insights from Deepexi

The interview with Deepexi President Bai Haifeng explains how enterprises can lower costs and boost efficiency by adopting domain‑specific large models, outlines the technical pipeline from self‑supervised pre‑training to fine‑tuning, discusses data‑governance challenges for unstructured data, and describes the product ecosystem built to support agile, high‑performance AI solutions.

Artificial IntelligenceModel Fine‑tuning
0 likes · 14 min read
Enterprise Large‑Model Deployment, Data Governance, and Cost Economics – Insights from Deepexi
DataFunSummit
DataFunSummit
Dec 14, 2023 · Artificial Intelligence

Enterprise Large‑Model Deployment: Data Governance, Fine‑Tuning Strategies, and Cost Economics

The article examines how enterprises can adopt domain‑specific large language models by addressing data governance, model fine‑tuning techniques, dataset balance, and product architecture to achieve cost‑effective, high‑performance AI solutions across various business scenarios.

Model Fine‑tuningcost efficiencylarge language models
0 likes · 14 min read
Enterprise Large‑Model Deployment: Data Governance, Fine‑Tuning Strategies, and Cost Economics
Baobao Algorithm Notes
Baobao Algorithm Notes
Oct 25, 2023 · Artificial Intelligence

How Mixed Data Shapes LLaMA SFT: Scaling Trends, Conflict Zones, and the DMT Remedy

This article investigates how mixing data from mathematical reasoning, code generation, and general instruction-following tasks influences supervised fine‑tuning of LLaMA models, revealing distinct scaling curves, resource‑dependent performance conflicts, and a two‑stage DMT strategy that mitigates catastrophic forgetting while boosting overall capability.

DMT StrategyLlamaModel Fine‑tuning
0 likes · 14 min read
How Mixed Data Shapes LLaMA SFT: Scaling Trends, Conflict Zones, and the DMT Remedy