Hands-On Guide to Generating Synthetic Data with Gretel AI
Gretel AI simplifies synthetic data generation with customizable models, privacy-first features, and cloud-based infrastructure. This
ADaSci Blog
Synthetic Data Generation for Fine-Tuning Custom Retrieval Models using Distilabel
Distilabel revolutionizes dataset creation by leveraging large language models and flexible pipelines. Generate custom, task-specific
A Practitioners Guide to Running Ollama models in Colab – Collama
Unlock the power of AI with Ollama using Google Colab. Run advanced language models effortlessly.
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
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.