My Courses
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Novel Grocery Recommendations with T5: A Transformer-Based Approach for Next Basket Prediction
Author(s): Pawan Chorasiya, Aditya Thomas, Abhinav Arya
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Life Stage Customer Segmentation by Fine-tuning Large Language Models
Author(s): Nikita Katyal, Shaurya Uppal
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AgNet: A Novel AI Agent Network Architecture
Author(s): Manoj Gupta, Vikram Acharya, Sai Sujan, Ayush Mittal
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Vision-Powered RAG Agents for Organizational Software and Web Operations
Author(s): Varun Malhotra, Gaurav Adke, Ameya Divekar
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LLM Based Agentic Framework to Assist with IT Incidents
Author(s): Chandan Kumar Agarwal, Aditi Raghuvanshi, Suresh S K, Sovan Gosh
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Kimi K1.5 for Advancing LLMs with Scaling RL
Kimi K1.5 revolutionizes LLM scaling by leveraging RL for long-context reasoning, policy optimization, and multimodal integration.
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Mastering Multimodal Understanding and Generation with Janus-Pro
Janus-Pro advances multimodal AI by decoupling visual understanding and generation, optimizing training strategies for superior performance.
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Diving into Self-Adaptive LLMs with Transformer2
Transformer2 is a revolutionary framework enhancing LLMs with self-adaptive capabilities through Singular Value Fine-Tuning and reinforcement learning, enabling real-time task adaptation with low computational cost.
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A Low Code Approach to Build Powerful AI Agents with Smolagents
Smolagents enable large language models (LLMs) to handle dynamic workflows with ease. Learn how its code-first, minimalistic design powers intelligent, flexible AI solutions for real-world tasks.
