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Your Guide to Starting With RAG for LLM-Powered Applications 
In an ODSC webinar, Pandata’s Nicolas Decavel-Bueff and myself (Cal Al-Dhubaib) partnered with Data Stack Academy’s Parham Parvizi to share some of the lessons we’ve learned from building enterprise-grade large language models (LLMs)—and tips on how data scientists and data engineers can get started as well. ... Read more
The Three Essential Methods to Evaluate a New Language Model
New LLMs are released every week, and if you’re like me, you might ask yourself: Does this one finally fit all the use cases I want to utilise an LLM for? In this tutorial, I will share the techniques that I use to evaluate new LLMs.... Read more
2023 Was the Year of Large Language Models: Then and Now
The year 2023 has witnessed an unprecedented surge in the development of large language models, with new models emerging at an astonishing pace. So let’s take a look at these advancements, who pushed them forward, and what the year entails. In the early months of the... Read more
RAG and LLM: A New Frontier in Dynamic Language Modeling
What challenges do LLMs bring? Traditional language models, such as GPT-4 and Llama2, face inherent limitations. Their static nature binds them to a fixed knowledge cut-off, leaving them unaware of developments post their last training date. While they encapsulate vast amounts of data, there’s a cap... Read more
AI-Powered Natural Language Queries for Knowledge Discovery
In this article, I wanted to share a proof of concept project I’ve been working on called UE5_documentalist. It’s an exciting project that uses Natural Language Processing (NLP) to potentially enhance your experience with massive documentation. While I worked on the Unreal Engine 5 documentation for... Read more
RAG vs Finetuning — Which is the Best Tool to Boost Your LLM Application?
As the wave of interest in Large Language Models (LLMs) surges, many developers and organisations are busy building applications harnessing their power. However, when the pre-trained LLMs out of the box don’t perform as expected or hoped, the question on how to improve the performance of... Read more
How to Add Domain-Specific Knowledge to an LLM Based on Your Data
In recent months, Large Language Models (LLMs) have profoundly changed the way we work and interact with technology, and have proven to be helpful tools in various domains, serving as writing assistants, code generators, and even creative collaborators. Their ability to understand context, generate human-like text,... Read more
An Overview of Meta’s Llama 2 Model: What’s New?
Over the course of the last few months, Meta’s Llama 2 has been making its rounds around the data science community and so far has proven why it has become a big deal. Not only has it pushed the envelope when it comes to LLMs, but... Read more
10 Essential Topics to Master LLMs and Generative AI
Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. There’s a lot to learn for those looking to take a deeper dive into... Read more
LLMOps – The Next Frontier of MLOps
Recently Sahar Dolev-Blitental, VP of Marketing at Iguazio, joined us for a lightning interview on LLMOps, and the next frontier of MLOps. Over the course of nearly an hour, Saha discussed many facets of the recently emerged field of LLMOps, from the definition of the field... Read more