Mastering Self-Adaptive LLMs with Transformer2
Transformer2 is a revolutionary framework enhancing LLMs with self-adaptive capabilities through Singular Value Fine-Tuning and
Artificial Intelligence Trends - Explore Our Blogs
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
Mastering the Art of Mitigating AI Hallucinations
AI hallucinations challenge generative models’ reliability in critical applications. Learn about advanced mitigation techniques, including
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Full Fine-Tuning vs. Parameter-Efficient Tuning: Trade-offs in LLM Adaptation
Choosing between full fine-tuning and parameter-efficient tuning depends on your task’s complexity and available resources.
Top Tools and Techniques for LLM Fine-Tuning: A Comprehensive Guide
Master LLM fine-tuning with tools, techniques, and practical insights for domain-specific AI applications.
AI-Powered Image-to-JSON Conversion for LLM Fine-Tuning Using ‘Outlines’
Generate structured JSON datasets from images using Outlines, a Python library crafted for robust and
Fine-Tuning LLMs for Domain-Specific Tasks using Unsloth
Discover how to fine-tune language models using Unsloth with this hands-on guide, designed to help
Certified Generative AI Engineer
ADaSci’s Certified Generative AI Engineer program is an upskilling-linked certification initiative designed to recognize talent in generative AI and large language models.
