Converting Textual data to Tabular form using NLP
Author(s): Danish Javed Originally published on Towards AI. Flow Diagram of Architecture Followed in Article Introduction: Larger textual files may be more difficult to manage than tabular data because tabular data facilitates understanding by visualizing information in an organized manner.This article will …
Causal Inference Python Implementation
Author(s): Akanksha Anand (Ak) Originally published on Towards AI. Photo by SHVETS production from Pexels As per the routine I follow every time, here I am with the Python implementation of Causal Impact. If you haven’t read my previous blogs in the …
How to Make Money with OpenAI’s Sora
Author(s): Meng Li Originally published on Towards AI. Meng Li DALL·E 3 Created Currently, the cost of using the Sora video generation tool is unknown, as it has yet to be officially made available to users. However, a ChatGPT Plus account can …
EarlyStopping and LiveLossPlot Callbacks in TensorFlow, Keras, and Python
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. How to Improve Your Model Training Time and to Prevent Overfitting Using EarlyStopping and Plot the Losses and Metrics Live While TrainingPhoto by Pierre Bamin on Unsplash Keras library has several callback functions …
Performing Data Science Tasks with LLM-Based Agents CrewAI
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Trying out the agents to do data scientist activityImage generated by DALL-E 3 LLM-based Agents or LLM Agents are agent structures that could execute complex tasks with LLM applications that have an architecture …
Language Modeling From Scratch — Part 2
Author(s): Abhishek Chaudhary Originally published on Towards AI. In the previous article we made use of probability distribution to create a name generator, we also looked into using a simple neural network. We concluded the article with the observation that even though …
LLM Quantization Techniques- GPTQ
Author(s): Rajesh K Originally published on Towards AI. Recent advances in neural network technology have dramatically increased the scale of the model, resulting in greater sophistication and intelligence. Large Language Models (LLMs) have received high praise for their expertise in understanding code …
Deploying Models with Xinference
Author(s): zhaozhiming Originally published on Towards AI. Today, let’s explore Xinference, a deployment and inference tool for Large Language Models (LLMs), characterized by its quick deployment, ease of use, efficient inference, support for various open-source models, and provision of both a WebGUI …
Machine Learning in Chemistry
Author(s): Tony Flores Originally published on Towards AI. Image adapted from Adobe Stock Machine learning is becoming a significant tool in the field of chemistry, providing new opportunities in various areas such as drug discovery and materials science. Machine learning algorithms, especially …
GeoGPT+ Tutorial: Web-Ready Map Visuals From GIS Forest Fire Data
Author(s): John Loewen, PhD Originally published on Towards AI. Step-by-step guide on using the GPT-4 GeoGPT+ plug-inDall-E image: impressionist painting of a heat map on a computer screen hovering over a forest fire GeoGPT+ improves geospatial analysis by providing real-time data integration …
Hands-On LangChain for LLMs App: Chat with Your Files
Author(s): Youssef Hosni Originally published on Towards AI. In previous articles, we have explored the journey from loading documents to creating a vector store, discussing the limitations of existing models in handling follow-up questions and engaging in real conversations. The good news …
Let the Sunburst! — The complete Guide On How To Plot Sunburst Charts in Plotly
Author(s): Arslan Shahid Originally published on Towards AI. A beginner to advanced guide to sunburst charts in PlotlyImage by the Author After three years of working in data-related roles, I can safely say that the most underrated skill is good data visualization. …
Learning Kubernetes the Right Way In 2024
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Do you know OpenAI is deployed on Kubernetes and scaling to 7,500 worker nodes? When we talk about Kubernetes slots into microservices architecture, when we talk about a single unit of the …
My GPT-4 One-Prompt Python Plotly Interactive Dashboard
Author(s): John Loewen, PhD Originally published on Towards AI. Single-step prompting for interactive CO2 global emissions data Recently I have been focusing on refining my GPT-4 prompting for interactive dashboard visualizations. I’ve been putting in the time to figure this out — …
Setting up the GPU-Based LLM Training Machine
Author(s): Leo Tisljaric, PhD Originally published on Towards AI. Setup guide for your local Ubuntu-based machine for training PyTorch and TensorFlow AI models using GPU acceleration Supercomputer (Image by: Author; Source: OpenAI DALL-E) Installing all the necessary tools and drivers on your …
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