Gen AI Team

TL;DR: Learn how to build a decision tree from scratch, from basic concepts to advanced techniques. Understand key concepts like entropy and Gini impurity, and explore using the logistic function and coding without pre-built libraries. Discover tips for optimizing performance, such as using KS statistics and combining metrics. By the end of this guide, you'll have the skills and confidence to create and customize your own AI models. Join the AI newsletter with over 80,000 subscribers to stay updated on the latest AI developments, and consider becoming a sponsor if you're building an AI-related startup or service.

TL;DR: BiMediX is a bilingual medical tool that combines LLMs and an editorial team to enhance healthcare. It addresses challenges in LLM application, like the need for specific data and concerns about bias. Open-source models like Med42-70B and Meditron-70B have some limitations. BiMediX provides a potential solution through its publication in MBZUAI and DOI 15.997566/mbzuai.00033 on July 30, 2024. Its use of LLMs can improve diagnostic accuracy and support virtual chat in medical departments.

Google has once again amazed us with their latest achievements in AI. They have developed two new models, AlphaProof and AlphaGeometry 2, that have achieved silver medalist-level performance in solving complex math problems. This research not only showcases the potential of AI in mathematics, but also gives us a glimpse into Google's future plans of creating a super AI. Subscribe to the AI newsletter to stay updated on the latest developments and gain valuable insights for decision making. Join over 80,000 subscribers and consider becoming a sponsor if you're in the AI industry. Read more for free on Medium.

TL;DR: Learn AI security for free with amazing resources, updated on August 6, 2024. No need to be super-technical or have a PhD in Data Science. The NIST AI Risk Management Framework is a tech-agnostic guide that helps companies responsibly use AI technologies. It's a great starting point for anyone, regardless of their technical background. More and more companies are using this framework to manage AI risks. Read the full blog on Medium for free and join the AI newsletter with over 80,000 subscribers for the latest developments in AI. Consider becoming a sponsor if you're building an AI startup or product

The Strava race analysis tool helps athletes track their performance and compare it to others. It offers visualizations of data like speed, distance, and elevation. Users can see where they ranked and identify areas for improvement. It's a useful tool for training and motivation.

TL;DR: Learn how to use the Elastic (ELK) Stack to log Databricks workflows in just a few simple steps. This powerful combination makes it easy to monitor and troubleshoot your workflows, saving you time and effort. Start tracking your Databricks data today with ELK.

LLM inference costs have significantly reduced with the introduction of context caching, allowing for 10x cheaper access to reused input tokens. Deepmind and Gemini have made progress in this area, with Deepmind also releasing a new small 2B Gemma model benefiting from model distillation. China-based DeepSeek has announced automatic context caching, reducing API costs by 90%. In parallel, research on inference-time scaling laws suggests that increasing the number of inference steps can significantly improve LLM performance. These advancements are synergistic and could make agentic LLM systems more feasible. The evolution of LLM compression methods, from QuIP to A

AI is evolving and humans need to define their relationship with it. It was born from years of research, experimentation, and the combination of statistics, math, and computer power. Linear regression was the initial state of AI, using data and computation to understand patterns. Now, AI is more productive than the human brain, but it needs constant input of data to make decisions. ChatGPT was a major breakthrough, democratizing AI.

TL;DR: The requirements.txt file used for managing Python project dependencies is now obsolete. Poetry, a new tool, simplifies the process by handling dependencies and metadata in a more efficient way. It also supports virtual environments and allows for easy installation and updates of packages.

Omitted variable bias refers to the potential bias in statistical analysis when a key variable is left out of the model, leading to inaccurate results. To avoid this, researchers should carefully consider all relevant variables and include them in their analysis.