Skip to content Skip to sidebar Skip to footer

Using LLMs to Query PubMed Knowledge Bases for BioMedical Research | by Jillian Rowe | Jul, 2024

AI for fun and profit! Photo by šŸ‡øšŸ‡® Janko Ferlič on UnsplashIn this article, weā€™ll explore how to leverage large language models (LLMs) to search and scientific papers from PubMed Open Access Subset, a free resource for accessing biomedical and life sciences literature. Weā€™ll use Retrieval-Augmented Generation, RAG, to search our digital library. AWS Bedrock…

Read More

Reinforcement Learning, Part 5: Temporal-Difference Learning | by Vyacheslav Efimov | Jul, 2024

Intelligently synergizing dynamic programming and Monte Carlo algorithms R einforcement learning is a domain in machine learning that introduces the concept of an agent learning optimal strategies in complex environments. The agent learns from its actions, which result in rewards, based on the environmentā€™s state. Reinforcement learning is a challenging topic and differs significantly from…

Read More

AI-Proof Your Data Science Skill Set by Embracing Four Timeless Concepts | by Matthew Gazzano | Jul, 2024

And stay competitive in a saturated job market Photo by Thomas Kelley on UnsplashWith AI productivity tools like Microsoft Copilot, ChatGPT, and many others emerging, some technology professionals have drawn concerns around their skill sets becoming obsolete. Since AI is still in its infancy, itā€™s impossible for anyone to predict exactly how the skill sets…

Read More

Forget Statistical Tests: A/B Testing Is All About Simulations | by Samuele Mazzanti | Jul, 2024

How simulations outperform traditional stats in that they are easier to understand, more flexible, and economically meaningful [Image by Author]Controlled experiments such as A/B tests are used heavily by companies. However, many people are repelled by A/B testing due to the presence of intimidating statistical jargon including terms such as ā€œconfidenceā€, ā€œpowerā€, ā€œp-valueā€, ā€œt-testā€, ā€œeffect…

Read More

Building Fill.sg, a GenAI Report Toolkit | by Nicole Ren | Jun, 2024

FulFILL your dreams of having AI write repetitive reports for you. Find out how we built Fill.sg in 2 weeks at LAUNCH! Table of Contents Introduction Problem statement Our Solution Prompts Behind Fill.sg āˆ˜ Breakthrough in LLMs: Long-context models āˆ˜ Our Prompting Approach āˆ˜ Report Generation: Divide and Conquer UI/UX Considerations for a User-Friendly GenAI…

Read More