Repost from SEBASTIAN RASCHKA, PHD‘s blog In this article, I compiled and annotated 24 AI research highlights form June to July 2023. A lot of exciting developments are currently happening, once again, in the fields of natural language processing and computer vision! Large Language Models Lost in the Middle: How Continue Reading
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
Understanding Transformers – A Setup-by-Step Math Example
Source from Fareed Khan’s post Part 1 I understand that the transformer architecture may seem scary, and you might have encountered various explanations on YouTube or in blogs. However, in my blog, I will make an effort to clarify it by providing a comprehensive numerical example. By doing so, I Continue Reading
Databrisks Data + AI Summit 2023 Highlights
Keynote Kick-Off: Welcome To Generation AI Following a puff of smoke and a red lazer light show, Databricks CEO, Ali Ghodsi, stormed the stage. The start included a few over-promises about how the audience was going to use technology to “make everyone smarter, cure diseases, and raise the standard of 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
Unlocking the Power of Secure Collaborative Data Science with Cape Privacy
Keep sensitive data private while still using ChatGPT Dive into the world of collaborative data science, while maintaining utmost privacy and security with Cape Privacy’s intuitive platform. Learn how to get started and unlock its full potential in your data science workflows. The world of data science has seen revolutionary Continue Reading
GPT-4’s Secret Has Been Revealed: The Future of Artificial Intelligence
The article “GPT-4’s Secret Has Been Revealed” by Alberto Romgar on Medium explores the highly anticipated GPT-4 and its groundbreaking advancements in natural language processing (NLP). Romgar reveals that GPT-4’s secret lies in its enhanced contextual awareness, enabling it to better understand and generate contextually relevant responses. Additionally, GPT-4 exhibits 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