Ever wondered how well Retrieval-Augmented Generation (RAG) can perform with a classic like Alice's Adventures in Wonderland? I recently used the RAG Assessment (ragas) Python module to automatically create a set of Q&A and then performance benchmark different configurations. Some of the results were surprising.

Dive into my detailed …

Ever felt lost when a sommelier throws out words like "Rhubarb hangs out with cherry cider and the mellowest cinnamon" to describe a wine? ‍ Well - me too!

At the end of last week I was on a quest to bridge the gap between flowery descriptions and actual grape varieties! Inspired …

While text-to-image and text-to-text take most of the Generative AI headlines, the field of text-to-speech (TTS) continues to make steady progress. Recently, I explored the capabilities of Tortoise-TTS, an open-source framework for building high-fidelity TTS systems.

I've captured my research and experimentation in a Jupyter notebook. You can find it …

🔥 Meta's latest release, Llama 3, has delivered an impressive set of Large Language Model (LLM) benchmarks. While the 8B and 70B parameter models show impressive results against closed-source and open-source models such as Claude, Gemini and Mistral, it's interesting to compare improvements of …

In my role as field CTO, I sometimes speak with analysts and the media. Conversations often focus around a predetermined area of interest of set of questions. The follow text is based on my preparation for an interview with Techgoondu, Sinagpore.

Q1. What’s the Asia-Pacific AI landscape like currently …

Each day we are presented with an almost limitless supply of potentially interesting and valuable media to consume. In a fraction of the second we make the decision to consume it, delay it for later or simply ignore it. But how often do we defer reading something and never get …