My Courses
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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.
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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
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How DeepSearch Accelerates Question-Answering in LLMs?
DeepSearch revolutionizes question-answering in LLMs, enhancing precision, completeness, and efficiency in information retrieval.
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Intelligent Document Processing with No-Code LLM Platform Unstract
Unstract automates document processing with AI, reducing manual effort, errors, and costs.
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What is Temporally Adaptive Interpolated Distillation (TAID)?
TAID enhances LLM distillation by dynamically interpolating student-teacher distributions, solving capacity gaps and mode collapse.
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Implementing DeepSeek-R1 Locally through Llama.cpp
DeepSeek’s R1 model revolutionizes AI reasoning, balancing reinforcement learning with structured training techniques.
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A Guide to AISuite for Multi-LLM Integration
AISuite provides a unified API for interacting with multiple LLM providers, enabling seamless model switching.
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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.
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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.
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Marru(convert): Structure Data Creation from Unstructured Text for Fine-tuning Large Language Models in Indian Languages
Author(s): Mohamed Azharudeen M, Balaji Dhamodharan
