While the future of machine learning and MLOps is being debated, practitioners still need to attend to their machine learning models in production. This is no easy task, as ML engineers must constantly assess the quality of the data that... View article
Training OpenAI’s CLIP on Google Collab This is a walkthrough of training CLIP by OpenAI. CLIP was designed to put both images and text into a new projected space such that they can map to each other by simply looking at dot... View article
In this series of articles, we’re going to explore the powerful business benefits that come from leveraging large language models (LLMs) and natural language processing (NLP). We won’t be having a deep dive into super technical details like how BERT,... View article
MLOps practitioners (rightfully) point out that running notebooks in production is a bad software practice, but what are the alternatives? A simple script is not enough to capture the complexity of AI/ML projects, and rewriting a whole project in another programming... View article
Dive into any large-scale deployment of AI models, and you’ll quickly see the elephant in the room isn’t training cost – it’s inference. Here’s a hard-hitting fact: many AI companies shell out over 80% of their capital just on compute... View article
According to Gartner by 2025, more than 50% of enterprise-critical data will be created and processed outside the data center or cloud. As we start to think about all the possibilities for AI and Machine Learning projects this will generate,... View article
Large Language Models (LLMs) are popular for personal projects, but how can we use them in production? One of the immediate use cases that stands out is using an LLM like GPT to query your documents. It’s not enough to query one document; instead, we need to query multiple documents. LlamaIndex and Milvus can help us get started in a Jupyter Notebook.... View article
Author: Niels Bantilan When to manipulate the input prompt and when to roll up your sleeves and update parameter weights. Chances are you’ve already interacted in some way with a Large Language Model (LLM): either through a hosted interface like ChatGPT, HuggingChat and Bard,... View article
Large Language Model (LLM) is such an existing topic. Since the release of ChatGPT, we saw a surge of innovation ranging from education mentorship to finance advisory. Each week is a new opportunity for addressing new kinds of problems, increasing human productivity, or improving existing solutions. Yet, we may wonder... View article
How do we serve a response with confidence, if we don’t know how confident we should be about the response? Author: Soham Chatterjee Over the last few weeks, we have been trying to build an LLM product ourselves, a Chrome extension... View article