There has been rapid growth in the open-source landscape for Large Language Models (LLMs) after the release of the Llama3 model and its successor, Llama 2, by Meta in 2023. This release has led to the development of multiple innovative LLMs. These models have played an important role in this dynamic field by influencing natural… →

Language models are incredibly powerful tools that can understand and generate human-like text by learning patterns from massive datasets. However, the traditional method of training these models, called “next-token prediction,” has its limitations. It essentially teaches the model to predict the next word in a sequence, but this approach can lead to suboptimal performance, especially… →

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. This interdisciplinary field incorporates linguistics, computer science, and mathematics, facilitating automatic translation, text categorization, and sentiment analysis. Traditional NLP methods like CNN, RNN, and LSTM have evolved with transformer architecture and large language models (LLMs) like GPT and BERT… →

Artificial intelligence (AI) in medicine is revolutionizing how clinicians handle complex tasks such as diagnosing patients, planning treatments, and staying current with the latest research. Advanced AI models promise to enhance healthcare by increasing accuracy and efficiency. The vast array of medical data, such as images, videos, and electronic health records (EHRs), challenges AI models… →

GitHub Copilot GitHub Copilot stands as a market-leading AI-powered coding assistant. Engineered to enable developers to produce superior code with greater efficiency, Copilot operates on the foundation of OpenAI’s Codex language model. This model is trained on both natural language and a broad database of public code, allowing it to offer insightful suggestions. From completing… →

Recently, there has been remarkable performance on clinical question-answer (QA) tasks by large language models (LLMs) like Med-PaLM 2 and GPT-4. For example, Med-PaLM 2 produced answers to consumer health questions that were competitive with human doctors, and a GPT-4-based system achieved 90.2% on the MedQA task. But these models have a lot of problems.… →

In today’s era, learning ChatGPT is essential for mastering the capabilities of large language models in various fields. With its potential to enhance productivity, foster creativity, and automate tasks, understanding ChatGPT opens up avenues for innovation and problem-solving. Thus, acquiring ChatGPT skills empowers individuals to navigate the evolving landscape of artificial intelligence and its applications.… →

The rise of machine learning has had advancements in many fields, including the arts and media. One such advancement is the development of text-to-image (T2I) generative networks, which can create detailed images from textual descriptions. These networks offer exciting opportunities for creators but also pose risks, such as the potential for generating harmful content. Currently,… →