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In this tutorial, we implement an AI proxy based on advanced graphs using Graphagent Framework and Gemini 1.5 Flash model. We define a directed node graph, each node responsible for a specific function: a...
Particle-based simulations and point cloud applications are driving massive expansion of size and complexity of scientific and commercial datasets, often jumping into the realm of billions or trillions of discrete points. Effectively reducing, storing...
Large language models are often refined after preprocessing using supervised fine tuning (SFT) or enhanced fine tuning (RFT), and each language model has obvious advantages and limitations. SFT can effectively teach guided tracking through...
JSON prompt is a technique that uses JavaScript object symbols (JSON) format to construct instructions for AI models, making the prompts clear, explicit and machine-readable. With traditional text-based cues (which may leave room for...
Smutfinder is a high-level AI platform designed to generate personalized porn stories in an instant. It caters to users seeking romance, fantasy or dark eroticism, thus providing narrative freedom as well as creative control....
What is a voice proxy? one AI Voice Agent It is a software system that can be accommodated Two-way real-time dialogue via phone or the Internet (VoIP). Unlike traditional...
There is no single solution for universal victory between Large language model (LLMS, ≥30b parameters, usually through API) and Small language model (SLMS, ~1-15B, usually an open or proprietary expert model). For banks, insurers...
Differential privacy (DP) is the gold standard for protecting user information in large-scale machine learning and data analytics. A key task in DP is Partition selection– The process of securely extracting the most possible...
The Retrieval Augmentation Generation (RAG) has become a cornerstone technology for enhancing large language models (LLMs) with real-time, domain-specific knowledge. However, the landscape is rapidly shifting – the most common implementation is the “local...
Parameter counting for LLM has developed rapidly, with extensive use of Experts (MOE)-designed mixtures as well as huge context lengths. Models such as DeepSeek-R1, Llama-4, and Qwen-3 now reach trillions of parameters, requiring huge...