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Exploring the Power of Llama 2 Using Streamlit
Introduction 2023 has been significant for large language models. Many advancements have been made since ChatGPT, including open-source and licensed…
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Generating Images from Audio with Machine Learning
Quick Summary In this article, I’ll show you how to create amazing images from audio using the magic of Machine…
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How I Leveraged the Alpaca Dataset to Fine-Tune the Llama2 Model Based On Contrastive/Few-Shot Learning
With the arrival of the Llama-2 model, several articles have been published to describe the nuances of fine-tuning it in…
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How to Integrate Comet with Catboost Workflows
Photo by Campaign Creators on Unsplash Catboost is one of the most versatile gradient-boosting models. Its crucial capability is processing…
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Build and Monitor an Object Detection Model in 5 Steps Using Comet
In this project guide, we will dive into object detection by creating a custom object detection model and monitoring its…
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Containerization of Machine Learning Applications
Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the…
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How To Use Comet At Different Stages of ML Projects
Photo by Nguyen Le Viet Anh on Unsplash Machine learning (ML) projects are usually complicated and include several stages, from…
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LLMs: Exploring Data with YOLOPandas 🐼 and Comet
Have you ever imagined how cool it would be to analyze, explore and visualize your data in Pandas without typing…
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Plan-and-Execute Agents in Langchain
Evolution from Action to Plan-and-Execute Traditional “Action Agents” followed a framework where user input was received, the agent decided on…
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Using the ReAct Framework in LangChain
Both ways: Using off-the-shelf agents and LCEL ReAct Framework for Prompting ReAct, which stands for Reasoning + Acting, is a prompting…
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