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
LLMOps vs MLOps: Understanding the Differences
Large language models are all the rage right now, and with that comes the need for better management, organization, and planning. Just as machine learning leads to MLOps, so too have LLMs led to LLMOps. While LLMOps and MLOps have many similarities, such as ensuring data... Read more
What Exactly are Large Language Model Operations (LLMOps)?
Large language models (LLMs) are a powerful new technology with the potential to revolutionize many industries. However, LLMs are also complex and challenging to manage. LLMOps, or Large Language Model Operations, is a new and emerging field that focuses on the operational management of LLMs. What... Read more