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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
Editor’s note: Mike Taylor is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “Prompt Optimization with GPT-4 and Langchain,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people... Read more
Editor’s note: Eli Chen is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “Fine-tuning LLMs on Slack Messages,” there! Fine-tuning LLMs is super easy, thanks to HuggingFace’s libraries. This tutorial walks you through adapting a pre-trained... Read more
In the past year, there has been a surge of interest in large language models and LLM agents. As large language models continue their assent into multiple fields, they will begin to branch off and become more domain-specific to tackle complex problems that general LLMs aren’t... Read more
Vector stores play a pivotal role in the evolution of machine learning, serving as essential repositories for numerical encodings of data. Vectors are mathematical entities used to represent categorical data points in a multi-dimensional space. In the context of machine learning, vector stores provide a means... Read more
Large language models are at the forefront of the minds of many when they think of any type of artificial intelligence. What makes them tick is that these models are trained on massive amounts of text data. Often the sources of much of this data are... Read more
Editor’s note: Kabir Nagrecha is a speaker for ODSC West 2023 this Fall. Be sure to check out his talk, “Democratizing Fine-tuning of Open-Source Large Models with Joint Systems Optimization,” there! Model scale has become an absolutely essential aspect of modern deep learning practice. The success... Read more
Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. But as time has gone on, many industries have realized the power of these models. In turn, they’ve... Read more
Large language models are amazing tools in themselves, but many may not realize that models that are domain or industry-specific are potentially even more powerful. Not only are they trained on more specific data geared toward your industry, but they also often come with a laundry... Read more
A lot goes into learning a new skill, regardless of how in-depth it is. Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. Especially now with the growth of generative AI... Read more