My Courses
Mixture-of-Mamba for Enhancing Multi-Modal State Space Models
Mixture-of-Mamba enhances State Space Models for efficient multi-modal data processing across text, images, and speech.
Step-Video-T2V for Text to Video Generation
Step-Video-T2V, a cutting-edge text-to-video model with 30B parameters, enhances video quality using Video-VAE, Video-DPO, and 3D-attention.
Advancing Multilingual Text Embeddings through Nomic Embed Text V2
Nomic Embed Text V2 revolutionizes text embeddings with Mixture-of-Experts (MoE), enhancing efficiency, multilingual support, and scalability
How DeepSearch Accelerates Question-Answering in LLMs?
DeepSearch revolutionizes question-answering in LLMs, enhancing precision, completeness, and efficiency in information retrieval.
Intelligent Document Processing with No-Code LLM Platform Unstract
Unstract automates document processing with AI, reducing manual effort, errors, and costs.
What is Temporally Adaptive Interpolated Distillation (TAID)?
TAID enhances LLM distillation by dynamically interpolating student-teacher distributions, solving capacity gaps and mode collapse.
Implementing DeepSeek-R1 Locally through Llama.cpp
DeepSeek’s R1 model revolutionizes AI reasoning, balancing reinforcement learning with structured training techniques.
A Guide to AISuite for Multi-LLM Integration
AISuite provides a unified API for interacting with multiple LLM providers, enabling seamless model switching.
Mastering Long Context AI through MiniMax-01
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for long-context AI efficiency.
Mastering Universal Jailbreak Defenses using Constitutional Classifiers
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering and AI-driven safeguards for real-time protection.
