TextGrad is revolutionizing AI optimization by automating system refinement using natural language feedback. AI systems now rely on multiple large language models (LLMs) and external tools for complex tasks. Traditionally, optimizing these systems required manual tuning, making the process slow and inefficient. TextGrad eliminates this bottleneck by introducing an automated Continue Reading
nlp
Visual Question Answering from Scratch using TensorFlow
Visual Question Answering (VQA) is a fascinating field in artificial intelligence where a system answers questions about an image. This combines natural language processing (NLP) to understand the question and computer vision to analyze the image. For example, given an image of a red apple and the question “What color Continue Reading
What is ChatGPT?
ChatGPT is a state-of-the-art natural language processing model developed by OpenAI. It is based on transformer architecture and is trained on a massive amount of conversational data. In this blog post, we will take a closer look at what ChatGPT is, how it works, and its applications in the field Continue Reading
OpenAI GPT-3: The successor of OpenAI GPT-2
The research lab OpenAI has released a preprint arXiv paper, titled “Language Models are Few-Shot Learners” or OpenAI GPT-3, which is a continuation of their previous work entitled “Language Models are Unsupervised Multitask Learners” or GPT-2. As a recap. GPT-2 is a language model based on the transformer architecture with Continue Reading
Review: One Model To Learn Them All
Recent advancement in the field of deep learning has enabled us to develop models that yield impressive results across various fields, from image classification, object detection, to speech recognition. However, developing the architecture for each problem is a challenge in itself. In this paper, the authors present a single deep Continue Reading