Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. Image generated by midjourney Table of Content · Introduction· Policy Gradient Method ∘ Derivation ∘ Optimization ∘ The Algorithm· PyTorch Implementation ∘ Networks ∘ Training Loop (Main algorithm) ∘ Training Results· Conclusion· References Introduction …
Unmasking the Bookworm in AI: A Deep Dive into the Literary Knowledge of Large Language Models
Author(s): Cezary Gesikowski Originally published on Towards AI. “You don’t have to burn books to destroy a culture. Just get people to stop reading them.” — Ray Bradbury, author of the sci-fi novel “Fahrenheit 451” image: Unsplash In a groundbreaking study that …
A quick introduction to Machine Learning. Part-1
Author(s): Abhijith S Babu Originally published on Towards AI. Machine learning is a term that is very popular at least for tech enthusiasts. Machine learning is a significant component of Artificial Intelligence, the buzzword of the current era. This article intends to …
Unleashing AI for Personal Enrichment: Harnessing ChatGPT-4’s Therapeutic Power
Author(s): Cezary Gesikowski Originally published on Towards AI. Revolutionizing Self-Reflection: An Innovative Approach to AI-Assisted Journaling image: Unsplash I’ve been leveraging the capabilities of ChatGPT-4 for my personal development over the last few months. I aimed to explore if it could help …
How to Fine-Tune Meta SAM
Author(s): Luhui Hu Originally published on Towards AI. Photo by Wolfgang Hasselmann on Unsplash Checkpoint-based fine-tuning of Meta pre-trained SAM for domain images Transformers and foundation models have reinvented AI and ushered in a new AI era of unifying NLP and CV, …
Exploring the Power of the Transformers Library for Natural Language Processing
Author(s): Rafay Qayyum Originally published on Towards AI. Natural language processing (NLP) is a branch of Artificial Intelligence that deals with giving computers the ability to understand text and spoken words in the same way human beings can.NLP has made significant advancements …
The Anatomy of a Full Large Language Model Langchain Application
Author(s): Mostafa Ibrahim Originally published on Towards AI. A deep dive — data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference Photo by Simone Hutsch on Unsplash We are seeing a lot of use cases for langchain …
The Role of Product Data Science
Author(s): Lisa Cohen Originally published on Towards AI. Data science organizations help companies leverage data to build better products, improve customer experiences and grow the business. Yet, data scientists can get pulled into many directions. Amongst the endless opportunities that come by …
The Role of Product Data Science
Author(s): Lisa Cohen Originally published on Towards AI. Data science organizations help companies leverage data to build better products, improve customer experiences and grow the business. Yet, data scientists can get pulled into many directions. Amongst the endless opportunities that come by …
From Pixels to Artificial Perception
Author(s): Ali Moezzi Originally published on Towards AI. Understanding Computer Vision Fundamentals: An Introduction to Image Intrinsic, Representation, Features, Filters and Morphological Operations Computer vision is a fascinating field that aims to teach machines how to “see” the world as we do. …
Building Domain-Specific Custom LLM Models: Harnessing the Power of Open Source Foundation Models
Author(s): Sriram Parthasarathy Originally published on Towards AI. The transformative potential of training large LLMs with domain-specific data. With AI on a private cloud, organizations can ensure that everything, including custom Language Models (LLMs), remains within their secure cloud environment, preserving data …
Holy Cow! Introducing DragGAN
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Fast LLM Inference on CPU: Introducing Q8-Chat Make your Generative AI images come to life I you are hoping to synthesize visual content that is flexible and can be controlled precisely …
Fast LLM Inference on CPU: Introducing Q8-Chat
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Optimization techniques that decrease LLM inference latency on Intel CPU Large language models (LLMs) have rapidly gained prominence in the field of machine learning. These models, built on the powerful Transformer …
Building a Q&A Bot over Private Documents with OpenAI and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. Chat with your own private finance documents AI Generated image In today’s data-driven world, extracting valuable insights from private documents is a crucial aspect of decision-making in various domains. Whether it’s in finance, healthcare, …
Computer Vision Tutorial Series M2C2
Author(s): Sujay Kapadnis Originally published on Towards AI. Module 2 — Convolutional Filters and Edge Detection Chapter 2— Filters Starting here? This article is part of a computer vision Tutorial Series. Here’s where you can start. Learning Objectives: What are Filters? What …
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