Bantuan Coding Program Artificial Intelligence

Large Language Model (LLM)/

^{START FROM IDR 8.500.000}
ONLY IDR 7.500.000

Penggunaan Metode dan Algoritma yang Digunakan : Autoregressive(GPT, LLaMA, PaLM, Claude),Retrieval-Augmented Generation (RAG) (ChatGPT + Web, LlamaIndex, LangChain), Masked LM (BERT, RoBERTa, ALBERT), Seq2Seq (T5, BART), Multimodal(GPT-4o, Gemini, Sora), MoE (Mixtral, Switch Transformer),,Alignment (Instruction Tuning, RLHF, DPO)
Maksimal 2 Jenis Pilihan Algoritma
Maksimal 3x Bimbingan Online Via Zoom
Maximal 3x Bantuan Revisi
Diajarkan Step By Step Tata Cara Pembuatan Project
Unlimited Konsultasi
Pendampingan Sampai Sidang

^{START FROM IDR 8.500.000}
ONLY IDR 7.500.000

Penggunaan Metode dan Algoritma yang Digunakan : Transformer(GPT, Multimodal AI), Generative Adversarial Network (GAN) (StyleGAN, BigGAN, CycleGAN), Diffusion Models (Stable Diffusion, Imagen, DALL·E 2), Autoregressive Models (GPT, LLaMA, PaLM, Claude), Hybrid Models(GAN + Diffusion, VAE + Transformer, Reinforcement Learning), Multimodal Generative Models, (GPT-4o, Google Gemini, OpenAI Sora, VLA (Vision-Language-Action models)
Maksimal 2 Jenis Pilihan Algoritma
Maksimal 3x Bimbingan Online Via Zoom
Maksimal 3x Bantuan Revisi
Diajarkan Step By Step Tata Cara Pembuatan Project
Unlimited Konsultasi
Pendampingan Sampai Sidang

^{START FROM IDR 7.500.000}
ONLY IDR 6.500.000

Penggunaan Metode dan Algoritma yang Digunakan : YOLO Series Real-time CNN (YOLOv8, YOLO-NAS, YOLOv10), Hybrid CNN + Transformer(Swin-Det, ConvNeXt-Det, Co-DETR), Lightweight Efficient Models(YOLOX-Tiny, PP-YOLOE, YOLO-NAS-Small),DETR-based (Transformer) (DETR, Deformable DETR, DINO, RT-DETR), Transformer(ViT, Swin), Hybrid(ConvNeXt, CoAtNet), Multimodal (CLIP, BLIP-2), SSL(DINO v2, MAE), Edge AI(MobileViT, EfficientNet-Lite)
Maksimal 2 Jenis Pilihan Algoritma
Diajarkan Step By Step Tata Cara Pembuatan Program
Maksimal 3x Bimbingan Online Via Zoom
Maximal 3x Bantuan Revisi
Unlimited Konsultasi
Pendampingan Sampai Sidang

^{START FROM IDR 7.500.000}
ONLY IDR 6.500.000

Penggunaan Metode dan Algoritma yang Digunakan : Classification → XGBoost, LightGBM, CatBoost, MLP, Explainable Boosting Machine (EBM),Modern GAMs (Generalized Additive Models), TabNet, TabPFN (Prior-Fitted Networks), TabGLM, FT-Transformer, SAINT, NODE, DANets, Tabular Foundation Models/TabLLM , TabTransformer, Self-Attention and Intersample Attention Clustering → HDBSCAN, SpectralNet, DEC/IDEC, K-Prototypes
Maksimal 2 Jenis Pilihan Algoritma
Diajarkan Step By Step Tata Cara Pembuatan Program
Maksimal 3x Bimbingan Online Via Zoom
Maksimal 3x Bantuan Revisi
Unlimited Konsultasi
Pendampingan Sampai Sidang