A Comprehensive Prompt Engineering Guide by Dair-AI

Source from dair-ai’s GitHub Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt Continue Reading

Deep Learning Tuning Playbook: Maximizing Performance of Deep Learning Models

Discover a comprehensive playbook created by Google Brain engineers and researchers to help you maximize the performance of your deep learning models. This blog dives into the process of hyperparameter tuning and provides practical guidance on various aspects of deep learning training. Whether you’re an engineer or a researcher, this Continue Reading

Harness the power of Large Language Models with Azure Machine Learning prompt flow

Source from Microsoft post New trends in AI, LLMs and application development The rise of AI and large language models (LLMs) has transformed various industries, enabling the development of innovative applications with human-like text understanding and generation capabilities. This revolution has opened up new possibilities across fields such as customer Continue Reading

Harness the Power of AI: Fine-Tune Large Language Models with QLoRa using your own GPU

Explore the revolutionary platform, QLoRa, which empowers AI enthusiasts to fine-tune massive language models on their personal GPUs. This blog will guide you through the transformative journey of leveraging the power of AI, made convenient and accessible through QLora. Source from Benjamin Marie’s post Most large language models (LLM) are Continue Reading