 Custom Training of Large Language Models (LLMs): A Detailed Guide With Code Samples Apr 22nd 2023, 16:29, by Suresh Rajasekaran In recent years, large language models (LLMs) like GPT-4 have gained significant attention due to their incredible capabilities in natural language understanding and generation. However, to tailor an LLM to specific tasks or domains, custom training is necessary. This article offers a detailed, step-by-step guide on custom training LLMs, complete with code samples and examples. Prerequisites Before diving in, ensure you have: |  How to Handle Secrets in Jenkins Apr 22nd 2023, 16:02, by Keshav Malik Jenkins is a popular open-source automation server that is widely used for building, testing, and deploying software. It allows developers to automate many aspects of their software development process, including continuous integration and continuous deployment. As with any continuous integration software, managing secrets in Jenkins is crucial to ensure the security and integrity of the applications being built and deployed. In this article, we will be discussing the best practices for managing secrets in Jenkins, including configuring and managing secrets and how to handle potential security breaches. |  How Midjourney and Other Diffusion Models Create Images from Random Noise Apr 22nd 2023, 15:48, by Rostyslav Demush Colossal hype ensues whenever there's progress or even the slightest shift in the world of machine learning (ML). When it comes to AI, the craze always ends up growing out of proportion and insane claims invariably follow. You've probably noticed this recently as more people are beginning to use Midjourney, ChatGPT, Copilot, and so on. The truth about these systems, however, is always more prosaic. Machine learning is mathematical, and the real implications of the ML models are not nearly as profound as some bloggers would have you believe. They could be beneficial and, in some cases, transform large portions of workflows in specific areas, but only if the user, whether an organization or an individual, has a sufficient understanding of their inner workings, limitations, capabilities, and potential. |  MLOps for Beginners: Getting Started With MLOps Apr 22nd 2023, 15:26, by Atulpriya Sharma Machine learning (ML) has revolutionized various industries by enabling data-driven decision-making along with the automation of certain tasks. For instance, many banking institutions deploy advanced machine-learning models to detect fraudulent transactions. These models need to evolve constantly otherwise there will be a steep rise in false positives. However, deploying new machine learning models in production can be challenging. Training the model on production data, deploying it, and maintaining it isn't easy. Many a time, machine learning models in production fail to adapt to the changing data and environment. And doing all of it manually isn't efficient. | |
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