AI trends
Where are all the RAGs?
fore ai surveyed over 30 RAG developers on use cases and pain points. We present the results, which outline LLM trends and shed light on why adoption...
foreword - The fore blog
AI trends
LLMs’ relationship to their own truth
Explore the complex relationship between Language Models and their internal truths in fact extraction tasks. Understand how models prioritize...
Evaluation
Case Study: Building a RAG that knows about Cancer - What issues to expect
Building RAGs is fun, but even with AI, there is no free lunch: To get your system to high quality, work is required. We have outlined here some of...
Groundedness
How foresight could have saved Air Canada some troubles
Air Canada was recently ordered to pay compensation because of inaccurate information from their AI Chatbot. Here's how an LLM evaluation suite like...
Groundedness
Evaluation is all you need: metrics for evaluating Language Model applications
Explore the importance of evaluating Language Model applications through metrics like Groundedness and Ground Truth Similarity. Learn how these...
AI trends
The year of the AI quality hill-climb
Discover the potential and challenges of AI in 2024 as companies strive to improve accuracy and quality. Learn about the tools and strategies needed...