Category Archives: Machine learning

Fast-Tracking Custom LLMs Using vLLM

Fast-Tracking Custom LLMs Using vLLM

At InnovationM, we are constantly searching for tools and technologies that can drive the performance and scalability of our AI-driven products. Recently, we made progress with vLLM, a high-performance model inference engine designed to deploy Large Language Models (LLMs) more efficiently. We had a defined challenge. Deploy our own custom-trained LLM as a fast and Continue Reading »

Advanced RAG – Pushing the Boundaries of AI Knowledge Retrieval

Let’s be honest—AI models are smart, but they can also be wildly overconfident. Ever had ChatGPT confidently tell you that tomatoes are vegetables, only to backtrack when you call it out? Yeah, that’s it. Large Language Models (LLMs) create responses based on the material they were trained on, but they are not well-versed (“know”) with Continue Reading »

Supervised Fine-Tuning (SFT) – Enhancing Model Performance

Supervised Fine-Tuning (SFT) – Enhancing Model Performance

Supervised Fine Tuning (SFT) – Improving Models for Particular Scenarios The painstaking process that is the evolution of Artificial Intelligence (AI) has yielded exceptionally complex models capable of a variety of tasks, each performed with astounding efficiency. Unfortunately, these models often lack one crucial element: versatility. This is where Supervised Fine Tuning (SFT) proves to Continue Reading »

Teaching AI to Understand Humans: A Guide to Reinforcement Learning from Human Feedback (RLHF)

Artificial intelligence has taken a great leap with the help of Reinforcement Learning from  Human Feedback (RLHF), a method that combines the power of human judgment with  traditional machine learning. Unlike conventional training processes that depend entirely on  static datasets, RLHF uses human input to make AI systems more adaptable and contextually  aware.  What Makes Continue Reading »

Deploying LLM on RunPod

Deploying LLM on RunPod

Runpod emerges as a beacon of innovation in cloud computing, specifically tailored to empower AI, ML, and general computational tasks. Engineered to harness the power of GPU and CPU resources within Pods, it offers a seamless blend of efficiency and flexibility through serverless computing options. Deploying a Large Language Model (LLM) on RunPod Leveraging the Continue Reading »

Keeping the Wheels Turning: How AI Powers Predictive Maintenance in Industry 4.0

Keeping the Wheels Turning: How AI Powers Predictive Maintenance in Industry 4.0

Hey there, fellow tech enthusiasts! Today, let’s dive into the fascinating world of Industry 4.0 and how artificial intelligence (AI) is revolutionizing the way we maintain machinery. Picture this: you’re in a bustling factory, surrounded by the hum of machines, each one vital to the production process. But what if I told you that AI Continue Reading »